From: Snapshot-Content-Location: https://firstmonday.org/ojs/index.php/fm/article/view/12744/10737 Subject: View of News sources and emotional responses to COVID-19 news: Findings from U.K. news users | First Monday Date: Wed, 12 Apr 2023 14:43:41 -0000 MIME-Version: 1.0 Content-Type: multipart/related; type="text/html"; boundary="----MultipartBoundary--qFbVyU8cDNcTLZ2HsdOO7qo8jv6uKEJPRj5glsMegh----" ------MultipartBoundary--qFbVyU8cDNcTLZ2HsdOO7qo8jv6uKEJPRj5glsMegh---- Content-Type: text/html Content-ID: Content-Transfer-Encoding: quoted-printable Content-Location: https://firstmonday.org/ojs/index.php/fm/article/view/12744/10737 =09 View of News sources and emotional responses to COVID-19 news: Findings f= rom U.K. news users | First Monday =09
=09 Return to Article Details News sources and emotional responses to COVID-19 news: Findings from U.K= . news users
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} .cmp_announcements { margin-left: -0.714rem; margin-right: -0.714rem; } .cmp_announcements > li { padding: 2.143rem 0.714rem; border-bottom: 1px so= lid rgb(221, 221, 221); } .cmp_announcements > li:last-child { border-bottom: none; } @media (min-width: 480px) { .cmp_announcements { margin-left: -1.43rem; margin-right: -1.43rem; } .cmp_announcements > li { padding-left: 1.43rem; padding-right: 1.43rem; = } } @media (min-width: 992px) { .cmp_announcements { margin-left: -2.143rem; margin-right: -2.143rem; } .cmp_announcements > li { padding-left: 2.143rem; padding-right: 2.143rem= ; } } .cmp_skip_to_content a { display: block; padding: 1em; z-index: 99999; back= ground: rgb(255, 255, 255); transform: translateX(-50%); } .cmp_skip_to_content a:focus { clip: auto; top: 0px; left: 50%; color: rgb(= 0, 103, 152); } .cmp_table { width: 100%; border-top: 1px solid rgb(221, 221, 221); border-= right: 1px solid rgb(221, 221, 221); border-left: 1px solid rgb(221, 221, 2= 21); border-image: initial; border-bottom: none; border-collapse: collapse;= } .cmp_table th, .cmp_table td { padding: 0.5em; text-align: left; border-bot= tom: 1px solid rgb(221, 221, 221); } .cmp_table th { font-weight: 700; } html, body { font-family: "Noto Sans", -apple-system, BlinkMacSystemFont, "= Segoe UI", Roboto, Oxygen-Sans, Ubuntu, Cantarell, "Helvetica Neue", sans-s= erif; font-size: 14px; line-height: 1.43rem; color: rgba(0, 0, 0, 0.87); ba= ckground: rgb(255, 255, 255); } a { color: rgb(0, 103, 152); } a:hover, a:focus { color: rgb(0, 138, 203); } .pkp_site_name_wrapper, .pkp_navigation_primary_wrapper, .pkp_navigation_us= er, .pkp_search_mobile, .pkp_structure_content, .pkp_structure_footer { pos= ition: relative; width: 100%; margin: 0px auto; padding-left: 0.714rem; pad= ding-right: 0.714rem; } .pkp_site_name_wrapper::before, .pkp_navigation_primary_wrapper::before, .p= kp_navigation_user::before, .pkp_search_mobile::before, .pkp_structure_cont= ent::before, .pkp_structure_footer::before, .pkp_site_name_wrapper::after, = .pkp_navigation_primary_wrapper::after, .pkp_navigation_user::after, .pkp_s= earch_mobile::after, .pkp_structure_content::after, .pkp_structure_footer::= after { content: " "; display: table; } .pkp_site_name_wrapper::after, .pkp_navigation_primary_wrapper::after, .pkp= _navigation_user::after, .pkp_search_mobile::after, .pkp_structure_content:= :after, .pkp_structure_footer::after { clear: both; } @media (min-width: 768px) { .pkp_site_name_wrapper, .pkp_navigation_primary_wrapper, .pkp_navigation_= user, .pkp_search_mobile, .pkp_structure_content, .pkp_structure_footer { w= idth: 728px; padding: 0px; } } @media (min-width: 992px) { .pkp_site_name_wrapper, .pkp_navigation_primary_wrapper, .pkp_navigation_= user, .pkp_search_mobile, .pkp_structure_content, .pkp_structure_footer { w= idth: 952px; } } @media (min-width: 1200px) { .pkp_site_name_wrapper, .pkp_navigation_primary_wrapper, .pkp_navigation_= user, .pkp_search_mobile, .pkp_structure_content, .pkp_structure_footer { w= idth: 1160px; } } .has_site_logo .pkp_site_name, .has_site_logo .pkp_navigation_primary_wrapp= er { width: auto; } .has_site_logo .pkp_head_wrapper { position: relative; width: 100%; margin:= 0px auto; padding-right: 0.714rem; } .has_site_logo .pkp_head_wrapper::before, .has_site_logo .pkp_head_wrapper:= :after { content: " "; display: table; } .has_site_logo .pkp_head_wrapper::after { clear: both; } @media (min-width: 768px) { .has_site_logo .pkp_head_wrapper { width: 728px; padding-left: 0px; paddi= ng-right: 0px; } } @media (min-width: 992px) { .has_site_logo .pkp_head_wrapper { width: 952px; } } @media (min-width: 1200px) { .has_site_logo .pkp_head_wrapper { width: 1160px; } } .pkp_structure_main { padding: 0.714rem; } @media (min-width: 480px) { .pkp_structure_main { padding: 1.43rem; } } @media (min-width: 768px) { .pkp_structure_main::before, .pkp_structure_main::after { content: ""; po= sition: absolute; top: 0px; left: 0px; bottom: 0px; width: 1px; background:= rgb(221, 221, 221); } .pkp_structure_main::after { left: 728px; } } @media (min-width: 992px) { .pkp_structure_content { padding-top: 2.143rem; } .pkp_structure_sidebar { float: right; width: 300px; } .pkp_structure_main { float: left; padding: 0px 2.143rem 6.429rem; width:= 652px; } .pkp_structure_main::after { left: 652px; } } @media (min-width: 1200px) { .pkp_structure_main { width: 860px; } .pkp_structure_main::after { left: 860px; } } @media (min-width: 992px) { .pkp_structure_main:first-child:last-child { float: none; margin-left: au= to; margin-right: auto; margin-top: 2.857rem; } .pkp_structure_main:first-child:last-child::before { left: 150px; } .pkp_structure_main:first-child:last-child::after { left: auto; right: 15= 0px; } } img { max-width: 100%; width: auto; height: auto; } .pkp_structure_head { background-color: rgb(255, 255, 255); border-bottom: = 1px solid rgb(221, 221, 221); } .pkp_head_wrapper { position: relative; } .pkp_site_name_wrapper { height: 2.857rem; } @media (min-width: 992px) { .pkp_site_name_wrapper { height: auto; } } .pkp_site_name { position: absolute; left: 2.857rem; right: 0px; margin-top= : 0px; margin-bottom: 0px; padding-left: 0.714rem; text-align: left; overfl= ow: hidden; text-overflow: ellipsis; white-space: nowrap; color: rgba(0, 0,= 0, 0.84); font-family: "Noto Sans", -apple-system, BlinkMacSystemFont, "Se= goe UI", Roboto, Oxygen-Sans, Ubuntu, Cantarell, "Helvetica Neue", sans-ser= if; font-size: 0.93rem; } .pkp_site_name > a { padding-top: 0.714rem; padding-bottom: 0.714rem; } .pkp_site_name > a:focus { outline: 0px; } .pkp_site_name .is_img { display: inline-block; margin-top: 0.357rem; margi= n-bottom: 0.357rem; padding: 0px; } .pkp_site_name .is_img:focus { outline: rgba(0, 0, 0, 0.84) solid 1px; } .pkp_site_name .is_img img { display: block; max-height: 2.143rem; max-widt= h: 100%; width: auto; height: auto; } .pkp_site_name .is_text { font-family: "Noto Sans", -apple-system, BlinkMac= SystemFont, "Segoe UI", Roboto, Oxygen-Sans, Ubuntu, Cantarell, "Helvetica = Neue", sans-serif; font-size: 0.93rem; font-weight: 700; line-height: 2.857= rem; color: rgba(0, 0, 0, 0.84); text-decoration: none; } .pkp_site_name .is_text:focus { text-decoration: underline; } .pkp_navigation_primary_wrapper { padding-left: 0px; padding-right: 0px; } .pkp_site_nav_menu { position: absolute; width: 100%; top: 100%; background= : rgb(255, 255, 255); left: 0px; padding: 0.714rem; z-index: 9999; } .pkp_site_nav_menu .pkp_nav_list { padding-left: 0px; margin-left: 0px; } .pkp_site_nav_menu ul ul { padding-left: 0.5rem; } .pkp_site_nav_menu a { display: inline-block; padding: 0.125rem 0px; color:= rgba(0, 0, 0, 0.84); text-decoration: none; } .pkp_site_nav_menu a:hover, .pkp_site_nav_menu a:focus { color: rgba(0, 0, = 0, 0.84); text-decoration: underline; } .pkp_site_nav_menu #siteNav { position: absolute; top: 0px; height: 0px; } .pkp_navigation_user.pkp_navigation_user { margin-left: auto; margin-right:= auto; margin-top: 1rem; padding-top: 1rem; border-top: 1px solid rgba(0, 0= , 0, 0.2); } .pkp_navigation_user .task_count { display: inline-block; width: 1.43rem; h= eight: 1.43rem; margin-left: 0.5em; border-radius: 50%; background: rgba(0,= 0, 0, 0.2); line-height: 1.43rem; text-align: center; font-size: 0.857rem;= position: relative; top: 0.3rem; } .pkp_navigation_user > li > a .task_count { display: none; } .pkp_navigation_user > li > ul a .task_count { display: inline-block; backg= round: rgba(0, 0, 0, 0.2); color: rgba(0, 0, 0, 0.84); } .pkp_navigation_user > li > ul a:hover .task_count, .pkp_navigation_user > = li > ul a:focus .task_count { background: rgba(0, 0, 0, 0.87); } .pkp_navigation_search_wrapper { margin-top: 1rem; padding-top: 1rem; borde= r-top: 1px solid rgba(0, 0, 0, 0.2); } @media (min-width: 992px) { .pkp_head_wrapper { padding-top: 4.286rem; } .pkp_site_nav_toggle { display: none; } .pkp_site_name { position: relative; width: 100%; left: auto; right: auto= ; padding: 0px; white-space: normal; font-size: 2em; background: transparen= t; overflow: visible; } .pkp_site_name .is_text { font-family: "Noto Sans", -apple-system, BlinkM= acSystemFont, "Segoe UI", Roboto, Oxygen-Sans, Ubuntu, Cantarell, "Helvetic= a Neue", sans-serif; font-size: 1.714rem; line-height: 2.143rem; } .pkp_site_name .is_img img { max-height: 80px; } .pkp_site_nav_menu { display: block; position: static; top: auto; padding= : 0px; } .pkp_site_nav_menu ul ul { padding-left: 0px; } .has_site_logo .pkp_head_wrapper { padding-top: 2.143rem; } .pkp_nav_list { margin: 0px; padding: 0px; list-style: none; } .pkp_nav_list li { position: relative; display: inline-block; } .pkp_nav_list a { display: inline-block; padding: 0.357rem 0.714rem; text= -decoration: none; } .pkp_nav_list a:hover, .pkp_nav_list a:focus { text-decoration: none; } .pkp_nav_list ul { position: absolute; top: 100%; left: -9999px; z-index:= 1000; width: 15em; margin: 0px; padding: 0px; background: rgb(255, 255, 25= 5); border-radius: 3px; box-shadow: rgba(0, 0, 0, 0.3) 0px 0px 5px; } .pkp_nav_list ul li { display: block; } .pkp_nav_list ul a { display: block; padding-left: 0.357rem; border-left:= 0.357rem solid transparent; color: rgb(0, 103, 152); } .pkp_nav_list ul a:hover, .pkp_nav_list ul a:focus { outline: 0px; backgr= ound: rgb(221, 221, 221); border-color: rgb(0, 103, 152); color: rgb(0, 103= , 152); } .pkp_nav_list ul li:first-child a { border-top-left-radius: 3px; border-t= op-right-radius: 3px; } .pkp_nav_list ul li:last-child a { border-bottom-left-radius: 3px; border= -bottom-right-radius: 3px; } .pkp_nav_list > li:hover ul { left: 0px; } .pkp_nav_list [aria-haspopup]::after { position: relative; display: inlin= e-block; content: ""; width: 0px; height: 0px; margin-left: 0.25em; border-= top: 4px solid; border-right: 4px solid transparent; border-left: 4px solid= transparent; vertical-align: middle; overflow: hidden; } .pkp_navigation_primary { text-align: center; } .pkp_navigation_primary > li > a { margin: 0.357rem 0.5em 0px; padding: 0= .357rem 0.5em calc(0.714rem - 2px); border-bottom: 2px solid transparent; c= olor: rgba(0, 0, 0, 0.84); text-decoration: none; } .pkp_navigation_primary > li > a:hover { color: rgba(0, 0, 0, 0.84); outl= ine: 0px; border-color: rgba(0, 0, 0, 0.84); } .pkp_navigation_primary > li > a:focus { background: rgba(0, 0, 0, 0.84);= color: rgb(255, 255, 255); outline: 0px; } .pkp_navigation_primary > li:first-child a { margin-left: -0.5em; } .pkp_navigation_primary > li:last-child a { margin-right: -0.5em; } .pkp_navigation_primary > li:hover ul { left: 1rem; } .pkp_navigation_primary ul a { padding-top: 0.714rem; padding-bottom: 0.7= 14rem; } .pkp_navigation_primary [aria-haspopup]:hover { border-color: transparent= ; } .pkp_navigation_primary .dropdown-menu a:focus, .pkp_navigation_primary .= dropdown-menu a:hover { border-color: rgb(0, 103, 152); } .dropdown-menu { display: none; } .dropdown-menu.show { display: block; } [data-toggle=3D"dropdown"]:hover + .dropdown-menu, .dropdown-menu:hover {= display: block; } .pkp_navigation_user_wrapper { position: absolute; top: 0px; left: 50%; t= ransform: translateX(-50%); padding-left: 0.714rem; padding-right: 0.714rem= ; text-align: right; padding-top: 0px; margin-top: 0px; border-top: none; z= -index: 1000; } .pkp_navigation_user { text-align: right; font-size: 0.93rem; padding-rig= ht: 1.43rem; } .pkp_navigation_user.pkp_navigation_user { margin: 0px; padding: 0px; bor= der: none; } .pkp_navigation_user li { text-align: left; } .pkp_navigation_user a { padding-top: 0.357rem; padding-bottom: 0.357rem;= line-height: 1.43rem; } .pkp_navigation_user > li > a:focus { outline: 0px; background: rgba(0, 0= , 0, 0.84); color: rgb(255, 255, 255); } .pkp_navigation_user ul { width: 10em; } .pkp_navigation_user > li:hover ul { right: 0px; left: auto; } .pkp_navigation_user > li:last-child > a { margin-right: -0.714rem; } .pkp_navigation_user > li > a .task_count { display: inline-block; } .pkp_navigation_user > li > a:focus .task_count { background: rgb(255, 25= 5, 255); color: rgba(0, 0, 0, 0.84); } .pkp_navigation_user > li > ul a .task_count { display: none; } .pkp_navigation_search_wrapper { float: right; margin: 0px; padding: 0px;= border: none; } .pkp_navigation_search_wrapper a { margin: 0.357rem 0.5em 0px; padding: 0= .357rem 0.5em calc(0.714rem - 2px); border-bottom: 2px solid transparent; c= olor: rgba(0, 0, 0, 0.84); text-decoration: none; } .pkp_navigation_search_wrapper a:hover { color: rgba(0, 0, 0, 0.84); outl= ine: 0px; border-color: rgba(0, 0, 0, 0.84); text-decoration: none; } .pkp_navigation_search_wrapper a:focus { background: rgba(0, 0, 0, 0.84);= color: rgb(255, 255, 255); outline: 0px; text-decoration: none; } } @media (min-width: 992px) and (min-width: 992px) { .pkp_navigation_primary { display: inline-block; max-width: 80%; text-ali= gn: left; } } .pkp_structure_main h1 { font-family: "Noto Sans", -apple-system, BlinkMacS= ystemFont, "Segoe UI", Roboto, Oxygen-Sans, Ubuntu, Cantarell, "Helvetica N= eue", sans-serif; font-size: 1.714rem; line-height: 2.143rem; font-weight: = 700; } .pkp_structure_main h2 { font-family: "Noto Sans", -apple-system, BlinkMacS= ystemFont, "Segoe UI", Roboto, Oxygen-Sans, Ubuntu, Cantarell, "Helvetica N= eue", sans-serif; font-size: 1.285rem; line-height: 2.143rem; font-weight: = 700; } .pkp_structure_main h3 { font-family: "Noto Sans", -apple-system, BlinkMacS= ystemFont, "Segoe UI", Roboto, Oxygen-Sans, Ubuntu, Cantarell, "Helvetica N= eue", sans-serif; font-size: 1.143rem; line-height: 1.43rem; font-weight: 7= 00; } .pkp_structure_main h4 { font-size: 1rem; line-height: 1.43rem; font-weight= : 700; } .pkp_structure_main h5 { font-size: 1rem; line-height: 1.43rem; font-weight= : 400; } .pkp_structure_main h6 { font-size: 0.93rem; line-height: 1.43rem; font-wei= ght: 700; } .pkp_structure_main h1, .pkp_structure_main h2, .pkp_structure_main h3, .pk= p_structure_main h4 { margin: 2.857rem 0px 1.43rem; } .pkp_structure_main h5, .pkp_structure_main h6 { margin: 1.43rem 0px; } .pkp_structure_main p { line-height: 1.785rem; margin: 1.43rem 0px; } .pkp_structure_main p:last-child { margin-bottom: 0px; } .pkp_structure_main .page h1 { margin-top: 0px; } .pkp_structure_main .page > .cmp_edit_link { float: right; padding: 0.357re= m 0px; line-height: 2.143rem; } .pkp_structure_main .page .monograph_count { float: right; padding: 0.714re= m 0px; font-size: 0.93rem; color: rgba(0, 0, 0, 0.54); } .pkp_structure_main .page .about_section { color: rgba(0, 0, 0, 0.54); line= -height: 2.143rem; } .pkp_structure_main .page .about_section::before, .pkp_structure_main .page= .about_section::after { content: " "; display: table; } .pkp_structure_main .page .about_section::after { clear: both; } .pkp_structure_main .page .about_section .cover { float: right; width: 20%;= margin-left: 10%; margin-right: 10%; } .pkp_structure_main .page .about_section .cover img { display: block; margi= n: 0px auto; } .pkp_structure_main .page .about_section .description p:first-child { margi= n-top: 0px; } .pkp_structure_main .page .about_section .description p:last-child { margin= -bottom: 0px; } @media (min-width: 480px) { .pkp_structure_main .page .about_section { font-size: 1.143rem; font-styl= e: italic; } } .pkp_site_nav_toggle { position: absolute; top: 0px; left: 0px; width: 2.85= 7rem; height: 2.857rem; border: 0px; background: none; box-shadow: rgba(255= , 255, 255, 0.2) 1px 0px 0px, rgba(255, 255, 255, 0.2) -1px 0px 0px; z-inde= x: 999; } .pkp_site_nav_toggle:focus { outline: rgba(0, 0, 0, 0.84) dotted 1px; box-s= hadow: none; } .pkp_site_nav_toggle > span { position: absolute; top: 50%; left: 50%; tran= sform: translate(-50%, -50%); width: 24px; height: 19px; border-bottom: 3px= solid rgba(0, 0, 0, 0.84); text-indent: -9999px; overflow: hidden; } .pkp_site_nav_toggle > span::before, .pkp_site_nav_toggle > span::after { c= ontent: ""; position: absolute; left: 0px; width: 100%; height: 3px; backgr= ound: rgba(0, 0, 0, 0.84); } .pkp_site_nav_toggle > span::before { top: 0px; } .pkp_site_nav_toggle > span::after { top: 8px; } .pkp_site_nav_toggle--transform > span { border-bottom: 0px; overflow: visi= ble; } .pkp_site_nav_toggle--transform > span::before { top: 7px; transform: rotat= e(-405deg) translateY(1px) translateX(-2px); } .pkp_site_nav_toggle--transform > span::after { top: 14px; transform: rotat= e(405deg) translateY(-3px) translateX(-4px); } .pkp_site_nav_menu { display: none; } .pkp_site_nav_menu--isOpen { display: block; } body.navIsOpen .siteHeader__details { right: 0px; } body.navIsOpen .siteHeader__screen { display: block; opacity: 0.5; } body.navIsOpen .siteHeader__navToggleIcon > span:first-child { transform: r= otate(45deg); top: 18px; } body.navIsOpen .siteHeader__navToggleIcon > span:nth-child(2) { opacity: 0;= } body.navIsOpen .siteHeader__navToggleIcon > span:last-child { transform: ro= tate(-45deg); top: 18px; } @media (min-width: 992px) { .pkp_site_nav_menu { display: block; } } .pkp_page_index .journals { margin-top: 2.143rem; } .pkp_page_index .journals > ul > li { margin: 2.143rem 0px; } .pkp_page_index .journals img { display: block; max-height: 20em; } .pkp_page_index .journals h3 { margin: 0.714rem 0px; font-size: 1rem; font-= weight: 700; } .pkp_page_index .journals h3 a { text-decoration: none; } .pkp_page_index .journals p { margin: 0.714rem 0px; } .pkp_page_index .journals .links li { display: inline-block; margin: 0px 0.= 714rem 0.714rem 0px; } @media (min-width: 768px) { .pkp_page_index .journals > ul > li { margin: 0px -1.43rem; padding: 1.43= rem; border-top: 1px solid rgb(221, 221, 221); } .pkp_page_index .journals > ul > li::before, .pkp_page_index .journals > = ul > li::after { content: " "; display: table; } .pkp_page_index .journals > ul > li::after { clear: both; } .pkp_page_index .journals .thumb { float: left; width: 25%; padding-right= : 1.43rem; } .pkp_page_index .journals .thumb + .body { float: right; width: 75%; } } @media (min-width: 992px) { .pkp_page_index .journals > ul > li { margin: 0px -2.143rem; padding: 2.1= 43rem; } .pkp_page_index .journals .thumb { padding-right: 2.143rem; } } .pkp_page_index .homepage_image, .pkp_page_index .additional_content { marg= in-left: -0.714rem; margin-right: -0.714rem; } @media (min-width: 480px) { .pkp_page_index .homepage_image, .pkp_page_index .additional_content { ma= rgin-left: -1.43rem; margin-right: -1.43rem; } } @media (min-width: 992px) { .pkp_page_index .homepage_image, .pkp_page_index .additional_content { ma= rgin-left: -2.143rem; margin-right: -2.143rem; } } .pkp_page_index .homepage_image img { display: block; width: 100%; height: = auto; } @media (min-width: 992px) { .pkp_page_index .homepage_image { margin-top: -2.143rem; } } .pkp_page_index .homepage_about { padding-top: 2.143rem; padding-bottom: 2.= 143rem; } .pkp_page_index .homepage_about h2 { margin-top: -0.714rem; } .pkp_page_index .cmp_announcements { border-top: 1px solid rgb(221, 221, 22= 1); border-bottom: 1px solid rgb(221, 221, 221); } .pkp_page_index .cmp_announcements::before, .pkp_page_index .cmp_announceme= nts::after { content: " "; display: table; } .pkp_page_index .cmp_announcements::after { clear: both; } .pkp_page_index .cmp_announcements > .obj_announcement_summary { position: = relative; padding: 2.143rem 0.714rem; } .pkp_page_index .cmp_announcements .more { position: relative; } .pkp_page_index .cmp_announcements .more .obj_announcement_summary { paddin= g: 0.714rem; } .pkp_page_index .cmp_announcements .more h4 { font-size: 0.93rem; } @media (min-width: 480px) { .pkp_page_index .cmp_announcements > .obj_announcement_summary, .pkp_page= _index .cmp_announcements .more .obj_announcement_summary { padding-left: 1= .43rem; padding-right: 1.43rem; } } @media (min-width: 768px) { .pkp_page_index .cmp_announcements > .obj_announcement_summary { float: l= eft; width: 65%; } .pkp_page_index .cmp_announcements > .obj_announcement_summary::before { = content: " "; position: absolute; top: 0px; right: -1px; width: 1px; height= : 100%; border-left: 1px solid rgb(221, 221, 221); } .pkp_page_index .cmp_announcements .more { float: right; width: 35%; padd= ing-top: 1.43rem; padding-bottom: 1.43rem; } .pkp_page_index .cmp_announcements .more::before { content: " "; position= : absolute; top: 0px; left: 0px; width: 1px; height: 100%; border-left: 1px= solid rgb(221, 221, 221); } } @media (min-width: 992px) { .pkp_page_index .cmp_announcements > .obj_announcement_summary, .pkp_page= _index .cmp_announcements .more .obj_announcement_summary { padding-left: 2= .143rem; padding-right: 2.143rem; } } .pkp_page_index .current_issue .current_issue_title { margin: 1.43rem 0px; = font-weight: 700; } .pkp_page_index .current_issue .read_more { display: inline-block; position= : relative; padding-right: 2.143rem; font-size: 0.93rem; font-weight: 700; = line-height: 2.143rem; color: rgb(0, 103, 152); text-decoration: none; marg= in-bottom: 1.43rem; } .pkp_page_index .current_issue .read_more::after { display: inline-block; f= ont-style: normal; font-variant: normal; font-kerning: auto; font-optical-s= izing: auto; font-feature-settings: normal; font-variation-settings: normal= ; font-weight: normal; font-stretch: normal; font-family: FontAwesome; font= -size: inherit; text-rendering: auto; -webkit-font-smoothing: antialiased; = transform: translate(0px, 0px); content: "=EF=81=94"; position: absolute; t= op: 2px; right: 0px; width: 2.143rem; height: 2.143rem; line-height: 2.143r= em; text-align: center; } .pkp_page_index .current_issue .read_more:hover, .pkp_page_index .current_i= ssue .read_more:focus { color: rgb(0, 138, 203); } @media (min-width: 768px) { .pkp_page_index .current_issue .section:last-child { margin-bottom: 0px; = } } .pkp_page_index .additional_content { padding: 2.143rem 0.714rem 0px; borde= r-top: 1px solid rgb(221, 221, 221); } @media (min-width: 480px) { .pkp_page_index .additional_content { padding-left: 1.43rem; padding-righ= t: 1.43rem; } } @media (min-width: 992px) { .pkp_page_index .additional_content { padding-left: 2.143rem; padding-rig= ht: 2.143rem; } } .pkp_page_index .additional_content > p:first-child { margin-top: 0px; } .pkp_page_index .additional_content > p:last-child { margin-bottom: 0px; } @media (min-width: 768px) { .pkp_page_index .cmp_announcements + .additional_content { border-top: no= ne; } } .page_catalog_category .article_count { float: right; padding: 0.714rem 0px= ; font-size: 0.93rem; color: rgba(0, 0, 0, 0.54); } .page_catalog_category .about_section .cover { float: right; width: 20%; ma= rgin-left: 10%; margin-right: 10%; } .page_catalog_category .subcategories li { padding-top: 0.357rem; padding-b= ottom: 0.357rem; } .page_catalog_category .subcategories a { text-decoration: none; } @media (min-width: 768px) { .page_catalog_category .subcategories { position: relative; margin-top: 4= .286rem; margin-left: -1.43rem; margin-right: -1.43rem; padding: 2.143rem; = border-top: 1px solid rgb(221, 221, 221); border-bottom: 1px solid rgb(221,= 221, 221); } .page_catalog_category .subcategories h2 { position: absolute; top: -15px= ; left: 1.43rem; margin: 0px; padding-left: 0.714rem; padding-right: 0.714r= em; line-height: 2.143rem; background: rgb(255, 255, 255); color: rgba(0, 0= , 0, 0.54); } } @media (min-width: 992px) { .page_catalog_category .subcategories { margin-left: -2.143rem; margin-ri= ght: -2.143rem; } } @media (min-width: 768px) { .page_catalog_category .cmp_article_list { padding-top: 1.43rem; } .page_catalog_category h2.title { clip: rect(1px, 1px, 1px, 1px); left: -= 2000px; position: absolute !important; } .page_catalog_category h2.title:focus { background-color: rgb(255, 255, 2= 55); border-radius: 3px; box-shadow: rgba(0, 0, 0, 0.6) 0px 0px 2px 2px; co= lor: rgb(0, 0, 0); display: block; font-size: 1rem; height: auto; line-heig= ht: normal; padding: 1rem; position: absolute; left: 0.5rem; top: 0.5rem; t= ext-decoration: none; width: auto; z-index: 100000; clip: auto !important; = } } @media (min-width: 992px) { .page_catalog_category .cmp_article_list { padding-top: 2.143rem; } } .page_contact .address, .page_contact .phone, .page_contact .email { margin= -top: 0.714rem; margin-bottom: 0.714rem; font-size: 0.93rem; } .page_contact .address { margin-top: 0px; } .page_contact .address p { margin: 0px; } .page_contact .label { display: block; font-weight: 700; } .page_contact .contact.support { margin-top: 2.857rem; } @media (min-width: 768px) { .page_contact .contact_section::before, .page_contact .contact_section::a= fter { content: " "; display: table; } .page_contact .contact_section::after { clear: both; } .page_contact .contact { float: left; width: 50%; } .page_contact .contact.primary { padding-right: 1.43rem; } .page_contact .contact.support { margin-top: 0px; } } .page_issue_archive .issues_archive { margin-left: -0.714rem; margin-right:= -0.714rem; border-top: 1px solid rgb(221, 221, 221); } .page_issue_archive .issues_archive > li { padding: 2.143rem 0.714rem; bord= er-bottom: 1px solid rgb(221, 221, 221); } @media (min-width: 480px) { .page_issue_archive .issues_archive { margin-left: -1.43rem; margin-right= : -1.43rem; } .page_issue_archive .issues_archive > li { padding-left: 1.43rem; padding= -right: 1.43rem; } } @media (min-width: 992px) { .page_issue_archive .issues_archive { margin-left: -2.143rem; margin-righ= t: -2.143rem; } .page_issue_archive .issues_archive > li { padding-left: 2.143rem; paddin= g-right: 2.143rem; } } .page_issue_archive .cmp_pagination { margin-top: 1.43rem; } .page_login .login { margin-bottom: 0px; max-width: 17em; } .page_login .login input[type=3D"text"], .page_login .login input[type=3D"p= assword"] { width: 100%; } .page_login .password a { font-size: 0.93rem; font-style: normal; } .page_login .remember { padding-bottom: 0px; } .page_login .remember .label { display: inline; font-style: normal; } .page_login .buttons button { float: right; } .page_login .buttons a { float: right; margin-right: 1em; margin-left: 0px;= } .page_lost_password .lost_password { margin-bottom: 0px; max-width: 17em; } .page_lost_password .lost_password input[type=3D"text"] { width: 100%; } .page_lost_password .pkp_form_error { margin: 1.43rem 0px; padding: 0.714re= m; background: rgb(255, 64, 64); color: rgb(255, 255, 255); font-size: 0.93= rem; font-weight: 700; } .page_lost_password .buttons::before, .page_lost_password .buttons::after {= content: " "; display: table; } .page_lost_password .buttons::after { clear: both; } .page_lost_password .buttons button { float: right; } .page_lost_password .buttons a { float: right; font-size: 0.93rem; line-hei= ght: 2.143rem; margin-right: 1em; } .page_register .required_label { font-size: 0.93rem; line-height: 1.43rem; = color: rgba(0, 0, 0, 0.54); margin-bottom: 1.43rem; } .page_register .consent { margin-bottom: 0px; } .page_register .fields .reviewer_interests { max-height: 0px; padding-botto= m: 0px; overflow: hidden; opacity: 0; transition: all 0.3s ease 0s; } .page_register .fields .reviewer_interests.is_visible { max-height: 400px; = overflow: visible; padding-bottom: 2.143rem; opacity: 1; } .page_register .context_optin .contexts > li { margin-bottom: 1em; } .page_register .context_optin .contexts > li:last-child { margin-bottom: 0p= x; } .page_register .context_optin .roles { padding: 0.357rem 0px; margin-bottom= : 0px; } .page_register .context_optin .roles label { display: inline-block; margin-= right: 1em; font-size: 0.93rem; line-height: 1.43rem; } .page_register .context_optin .context_privacy { position: absolute; left: = -9999px; padding: 0.357rem 0px; font-size: 0.93rem; line-height: 1.43rem; } .page_register .context_optin .context_privacy_visible { position: relative= ; left: auto; } .page_register #formErrors { margin: 1.43rem 0px; padding: 0.714rem; backgr= ound: rgb(255, 64, 64); color: rgb(255, 255, 255); } .page_register #formErrors .pkp_form_error { padding: 0px; font-size: 0.93r= em; font-weight: bold; line-height: 1.43rem; } .page_register #formErrors .pkp_form_error_list { margin: 0px; padding-left= : 1.43rem; font-size: 0.93rem; line-height: 1.43rem; } .page_register #formErrors .pkp_form_error_list a { color: rgb(255, 255, 25= 5); } @media (min-width: 768px) { .page_register .identity li { display: inline-block; padding-right: 1em; = max-width: 13em; } } @media (min-width: 1200px) { .page_register .identity li { max-width: 17em; } } .pkp_op_register .ui-helper-hidden-accessible { clip: rect(1px, 1px, 1px, 1= px); left: -2000px; position: absolute !important; } .pkp_op_register .ui-helper-hidden-accessible:focus { background-color: rgb= (255, 255, 255); border-radius: 3px; box-shadow: rgba(0, 0, 0, 0.6) 0px 0px= 2px 2px; color: rgb(0, 0, 0); display: block; font-size: 1rem; height: aut= o; line-height: normal; padding: 0.714rem; position: absolute; left: 0.357r= em; top: 0.357rem; text-decoration: none; width: auto; z-index: 100000; cli= p: auto !important; } .pkp_op_register .ui-autocomplete { position: absolute !important; } .page_search .search_input .query { width: 100%; max-width: 100%; height: c= alc(2.857rem - 2px); font-size: 1.285rem; line-height: calc(2.857rem - 2px)= ; } .page_search .search_advanced { border: 1px solid rgb(221, 221, 221); paddi= ng: 0px 1.43rem 1.43rem; } .page_search .search_advanced legend { padding: 0.714rem 1.43rem; margin: 0= px; font-weight: 400; } .page_search .search_advanced label { font-size: 1rem; font-style: normal; = } .page_search .date_range legend { padding: 0px; font-size: 1rem; } .page_search .date_range label { clip: rect(1px, 1px, 1px, 1px); left: -200= 0px; position: absolute !important; } .page_search .date_range label:focus { background-color: rgb(255, 255, 255)= ; border-radius: 3px; box-shadow: rgba(0, 0, 0, 0.6) 0px 0px 2px 2px; color= : rgb(0, 0, 0); display: block; font-size: 1rem; height: auto; line-height:= normal; padding: 1rem; position: absolute; left: 0.5rem; top: 0.5rem; text= -decoration: none; width: auto; z-index: 100000; clip: auto !important; } .page_search .date_range select + label + select { margin-left: 0.25em; } .page_search .date_range [name*=3D"Year"] { width: 6em; } .page_search .date_range [name*=3D"Day"] { width: 4em; } .page_search .date_range [name*=3D"Month"] { width: 10em; } .page_search .submit { text-align: right; } .page_search .submit button { position: relative; padding-right: 1em; paddi= ng-left: 3.2145rem; border-right: 1px solid rgba(0, 0, 0, 0.4); border-left= : none; } .page_search .submit button::after { display: inline-block; font-style: nor= mal; font-variant: normal; font-kerning: auto; font-optical-sizing: auto; f= ont-feature-settings: normal; font-variation-settings: normal; font-weight:= normal; font-stretch: normal; font-family: FontAwesome; font-size: inherit= ; text-rendering: auto; -webkit-font-smoothing: antialiased; transform: tra= nslate(0px, 0px); content: "=EF=80=82"; position: absolute; top: -1px; righ= t: 0px; width: 2.143rem; height: 2.143rem; border-top-right-radius: 3px; bo= rder-bottom-right-radius: 3px; line-height: 2.143rem; text-align: center; b= ackground: rgb(0, 103, 152); box-shadow: rgba(0, 0, 0, 0.2) 0px -1em 1em in= set; color: rgb(255, 255, 255); } .page_search .submit button:hover::after, .page_search .submit button:focus= ::after { box-shadow: rgba(0, 0, 0, 0.2) 0px 1em 1em inset; background: rgb= (0, 138, 203); } .page_search .submit button::after { right: auto; left: 0px; border-radius:= 3px 0px 0px 3px; } .page_search .submit button::after { right: auto; left: 0px; } .page_search .search_results { margin: 2.857rem 0px; padding: 0px; list-sty= le: none; } .page_search .search_results .obj_article_summary { margin: 1.43rem 0px; } .page_search .cmp_pagination { margin-top: 1.43rem; font-size: 0.93rem; lin= e-height: 1.43rem; color: rgba(0, 0, 0, 0.54); text-align: right; } .page_search .cmp_pagination a { padding-left: 0.5em; padding-right: 0.5em;= } @media (min-width: 768px) { .page_search .search_advanced::before, .page_search .search_advanced::aft= er { content: " "; display: table; } .page_search .search_advanced::after { clear: both; } .page_search .date_range { float: left; width: 50%; } .page_search .date_range .to fieldset { margin-bottom: 0px; } .page_search .author { float: right; width: 50%; } } .page_section .section_description { margin-bottom: 2em; } .page_submissions .submission_sections ul, .page_submissions .submission_ch= ecklist ul { margin: 1.43rem 0px 0px; padding: 0px; list-style: none; font-= size: 0.93rem; border: none; } .page_submissions .submission_sections li, .page_submissions .submission_ch= ecklist li { position: relative; border-bottom: none; } .page_submissions .submission_sections h3 { margin-top: 0px; } .page_submissions .submission_sections .cmp_notification { margin-bottom: 0= px; } .page_submissions .submission_checklist li { padding: 1.43rem; } .page_submissions .submission_checklist li .fa { top: 50%; left: 0.357rem; = transform: translate(-50%, -50%); position: absolute; font-size: 1.285rem; = color: rgb(0, 178, 78); } @media (min-width: 480px) { .page_submissions .submission_sections li .fa { top: 22px; left: calc(1.4= 3rem - 3px); } .page_submissions .submission_sections ul, .page_submissions .submission_= checklist ul { border-top: 1px solid rgb(221, 221, 221); border-right: 1px = solid rgb(221, 221, 221); border-left: 1px solid rgb(221, 221, 221); border= -image: initial; border-bottom: none; } .page_submissions .submission_sections li, .page_submissions .submission_= checklist li { padding: 1.43rem 1.43rem 1.43rem 2.857rem; border-bottom: 1p= x solid rgb(221, 221, 221); } .page_submissions .submission_sections li .fa, .page_submissions .submiss= ion_checklist li .fa { left: 1.43rem; } } .header_view { z-index: 2; position: relative; background: rgb(0, 103, 152)= ; } .header_view a { line-height: 2.143rem; text-decoration: none; } .header_view .return { position: absolute; top: 0px; left: 0px; width: 2.14= 3rem; height: 2.143rem; line-height: 2.143rem; background: rgb(255, 255, 25= 5); color: rgb(0, 103, 152); text-align: center; } .header_view .return::before { display: inline-block; font-style: normal; f= ont-variant: normal; font-kerning: auto; font-optical-sizing: auto; font-fe= ature-settings: normal; font-variation-settings: normal; font-weight: norma= l; font-stretch: normal; line-height: 1; font-family: FontAwesome; font-siz= e: inherit; text-rendering: auto; -webkit-font-smoothing: antialiased; tran= sform: translate(0px, 0px); content: "=EF=81=A0"; } .header_view .return:hover, .header_view .return:focus { background: rgb(0,= 138, 203); color: rgb(255, 255, 255); } .header_view .title { display: block; padding-left: 2.857rem; max-width: 10= 0%; overflow-x: hidden; text-overflow: ellipsis; white-space: nowrap; font-= size: 0.93rem; color: rgb(255, 255, 255); } .header_view .title:hover, .header_view .title:focus { background: rgb(0, 1= 38, 203); } .header_view .download { display: block; position: absolute; top: 0px; righ= t: 0px; width: 2.143rem; background: rgb(255, 255, 255); text-align: center= ; } .header_view .download:hover, .header_view .download:focus { background: rg= b(0, 138, 203); color: rgb(255, 255, 255); } .header_view .download::before { display: inline-block; font-style: normal;= font-variant: normal; font-kerning: auto; font-optical-sizing: auto; font-= feature-settings: normal; font-variation-settings: normal; font-weight: nor= mal; font-stretch: normal; line-height: 1; font-family: FontAwesome; font-s= ize: inherit; text-rendering: auto; -webkit-font-smoothing: antialiased; tr= ansform: translate(0px, 0px); content: "=EF=80=99"; } .header_view .download .label { display: none; } @media (min-width: 768px) { .header_view .title { font-size: 1rem; } .header_view .download { width: auto; padding: 0px 1.43rem; } .header_view .download .label { display: inline-block; } .header_view .download .pkp_screen_reader, .header_view .download .pkp_pa= ge_index .cmp_announcements h2 { display: none; } } .galley_view { position: absolute; inset: 0px; overflow-y: hidden; } .galley_view iframe { width: 100%; height: 100%; padding-top: 2.143rem; bor= der: none; } .galley_view.galley_view_with_notice iframe { padding-top: 6.429rem; } .galley_view .galley_view_notice { position: absolute; top: 2.143rem; width= : 100%; height: 4.286rem; background: rgb(255, 64, 64); } .galley_view .galley_view_notice_message { position: absolute; top: 50%; le= ft: 50%; width: 100%; transform: translate(-50%, -50%); color: rgba(0, 0, 0= , 0.84); font-weight: 700; text-align: center; } .galley_view .galley_view_notice_message a { color: rgba(0, 0, 0, 0.84); te= xt-decoration: underline; } .obj_announcement_full h1 { margin: 0px; } .obj_announcement_full .date { margin: 16px 0px; color: rgba(0, 0, 0, 0.54)= ; } .obj_announcement_full .date::before { display: inline-block; font-style: n= ormal; font-variant: normal; font-kerning: auto; font-optical-sizing: auto;= font-feature-settings: normal; font-variation-settings: normal; font-weigh= t: normal; font-stretch: normal; line-height: 1; font-family: FontAwesome; = font-size: inherit; text-rendering: auto; -webkit-font-smoothing: antialias= ed; transform: translate(0px, 0px); content: "=EF=81=B3"; margin-right: 0.5= em; color: rgb(221, 221, 221); } .obj_announcement_full .description { margin-top: 2.857rem; } .obj_announcement_full .description p:first-child { margin-top: 0px; } .obj_announcement_full .description p:last-child { margin-bottom: 0px; } .obj_announcement_summary h2, .obj_announcement_summary h3, .obj_announceme= nt_summary h4 { margin: 0px; font-size: 1rem; line-height: 1.43rem; } .obj_announcement_summary h2 a, .obj_announcement_summary h3 a, .obj_announ= cement_summary h4 a { text-decoration: none; } .obj_announcement_summary .date { font-size: 0.93rem; line-height: 1.785rem= ; color: rgba(0, 0, 0, 0.54); } .obj_announcement_summary .date::before { display: inline-block; font: 1rem= / 1 FontAwesome; text-rendering: auto; -webkit-font-smoothing: antialiased= ; transform: translate(0px, 0px); content: "=EF=81=B3"; margin-right: 0.5em= ; color: rgb(221, 221, 221); } .obj_announcement_summary .summary { font-size: 0.93rem; line-height: 1.43r= em; margin-top: 0.714rem; } .obj_announcement_summary .summary p:first-child { margin-top: 0px; } .obj_announcement_summary .summary p:last-child { margin-bottom: 0px; } .obj_announcement_summary .read_more { display: inline-block; position: rel= ative; padding-right: 2.143rem; font-size: 0.93rem; font-weight: 700; line-= height: 2.143rem; color: rgb(0, 103, 152); text-decoration: none; } .obj_announcement_summary .read_more::after { display: inline-block; font-s= tyle: normal; font-variant: normal; font-kerning: auto; font-optical-sizing= : auto; font-feature-settings: normal; font-variation-settings: normal; fon= t-weight: normal; font-stretch: normal; font-family: FontAwesome; font-size= : inherit; text-rendering: auto; -webkit-font-smoothing: antialiased; trans= form: translate(0px, 0px); content: "=EF=81=94"; position: absolute; top: 2= px; right: 0px; width: 2.143rem; height: 2.143rem; line-height: 2.143rem; t= ext-align: center; } .obj_announcement_summary .read_more:hover, .obj_announcement_summary .read= _more:focus { color: rgb(0, 138, 203); } .obj_article_details > .page_title { margin: 0px; } .obj_article_details > .subtitle { margin: 0px; font-size: 1rem; line-heigh= t: 2.143rem; font-weight: 400; } .obj_article_details .row { margin-top: 2.143rem; } .obj_article_details .item { padding-top: 1.43rem; padding-bottom: 1.43rem;= } .obj_article_details .item > :first-child { margin-top: 0px; } .obj_article_details .item > :last-child { margin-bottom: 0px; } .obj_article_details .sub_item { margin-bottom: 1.43rem; } .obj_article_details .sub_item:last-child { margin-bottom: 0px; } .obj_article_details .main_entry .item .label { margin: 0px 0px 1.43rem; fo= nt-family: "Noto Sans", -apple-system, BlinkMacSystemFont, "Segoe UI", Robo= to, Oxygen-Sans, Ubuntu, Cantarell, "Helvetica Neue", sans-serif; font-size= : 1.143rem; font-weight: 700; } .obj_article_details .main_entry .item.doi .label, .obj_article_details .ma= in_entry .item.keywords .label { display: inline; font-size: 1rem; } .obj_article_details .main_entry .sub_item .label { font-size: 1rem; } .obj_article_details .authors li { margin-bottom: 0.714rem; } .obj_article_details .authors .name { font-weight: bold; display: block; } .obj_article_details .authors .orcid { display: block; font-size: 0.75rem; = line-height: 1.43rem; } .obj_article_details .authors .orcid a { vertical-align: middle; } .obj_article_details .authors .orcid_icon { width: 1.43rem; height: 1.43rem= ; } .obj_article_details .authors .affiliation { font-size: 0.93rem; color: rgb= a(0, 0, 0, 0.54); } .obj_article_details .author_bios .sub_item .label { margin-bottom: 0px; } .obj_article_details .author_bios .sub_item .value > p:first-child { margin= -top: 0px; } .obj_article_details .item.doi, .obj_article_details .item.keywords { paddi= ng-top: 0px; } .obj_article_details .galleys_links li { display: inline-block; } .obj_article_details .supplementary_galleys_links { margin-top: 0.714rem; } .obj_article_details .copyright { font-size: 0.93rem; 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} .fa-video-camera::before { content: "=EF=80=BD"; } .fa-photo::before, .fa-image::before, .fa-picture-o::before { content: "=EF= =80=BE"; } .fa-pencil::before { content: "=EF=81=80"; } .fa-map-marker::before { content: "=EF=81=81"; } .fa-adjust::before { content: "=EF=81=82"; } .fa-tint::before { content: "=EF=81=83"; } .fa-edit::before, .fa-pencil-square-o::before { content: "=EF=81=84"; } .fa-share-square-o::before { content: "=EF=81=85"; } .fa-check-square-o::before { content: "=EF=81=86"; } .fa-arrows::before { content: "=EF=81=87"; } .fa-step-backward::before { content: "=EF=81=88"; } .fa-fast-backward::before { content: "=EF=81=89"; } .fa-backward::before { content: "=EF=81=8A"; } .fa-play::before { content: "=EF=81=8B"; } .fa-pause::before { content: "=EF=81=8C"; } .fa-stop::before { content: "=EF=81=8D"; } .fa-forward::before { content: "=EF=81=8E"; } .fa-fast-forward::before { content: "=EF=81=90"; } .fa-step-forward::before { content: "=EF=81=91"; } .fa-eject::before { content: "=EF=81=92"; 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} .fa-arrows-h::before { content: "=EF=81=BE"; } .fa-bar-chart-o::before, .fa-bar-chart::before { content: "=EF=82=80"; } .fa-twitter-square::before { content: "=EF=82=81"; } .fa-facebook-square::before { content: "=EF=82=82"; } .fa-camera-retro::before { content: "=EF=82=83"; } .fa-key::before { content: "=EF=82=84"; } .fa-gears::before, .fa-cogs::before { content: "=EF=82=85"; } .fa-comments::before { content: "=EF=82=86"; } .fa-thumbs-o-up::before { content: "=EF=82=87"; } .fa-thumbs-o-down::before { content: "=EF=82=88"; } .fa-star-half::before { content: "=EF=82=89"; } .fa-heart-o::before { content: "=EF=82=8A"; } .fa-sign-out::before { content: "=EF=82=8B"; } .fa-linkedin-square::before { content: "=EF=82=8C"; } .fa-thumb-tack::before { content: "=EF=82=8D"; } .fa-external-link::before { content: "=EF=82=8E"; } .fa-sign-in::before { content: "=EF=82=90"; } .fa-trophy::before { content: "=EF=82=91"; } .fa-github-square::before { content: "=EF=82=92"; } .fa-upload::before { content: "=EF=82=93"; } .fa-lemon-o::before { content: "=EF=82=94"; } .fa-phone::before { content: "=EF=82=95"; } .fa-square-o::before { content: "=EF=82=96"; } .fa-bookmark-o::before { content: "=EF=82=97"; } .fa-phone-square::before { content: "=EF=82=98"; } .fa-twitter::before { content: "=EF=82=99"; } .fa-facebook-f::before, .fa-facebook::before { content: "=EF=82=9A"; } .fa-github::before { content: "=EF=82=9B"; } .fa-unlock::before { content: "=EF=82=9C"; } .fa-credit-card::before { content: "=EF=82=9D"; } .fa-feed::before, .fa-rss::before { content: "=EF=82=9E"; } .fa-hdd-o::before { content: "=EF=82=A0"; } .fa-bullhorn::before { content: "=EF=82=A1"; } .fa-bell::before { content: "=EF=83=B3"; } .fa-certificate::before { content: "=EF=82=A3"; } .fa-hand-o-right::before { content: "=EF=82=A4"; } .fa-hand-o-left::before { content: "=EF=82=A5"; } .fa-hand-o-up::before { content: "=EF=82=A6"; } .fa-hand-o-down::before { content: "=EF=82=A7"; } .fa-arrow-circle-left::before { content: "=EF=82=A8"; } .fa-arrow-circle-right::before { content: "=EF=82=A9"; 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Content-Type: text/html Content-ID: Content-Transfer-Encoding: quoted-printable Content-Location: https://firstmonday.org/ojs/index.php/fm/article/download/12744/10737?inline=1 = News sources and emotional responses to COVID-19 news: Findings from= U.K. news users
3D"First
=3D"News=


3D"Abstract"
Existing research= has begun to document some of the troubling links between COVID-19 news co= nsumption and emotional and psychological well-being, but precisely which s= ources of news are more likely to be related to such phenomena is still rel= atively unknown. Given the greater likelihood of encountering disinformatio= n, rumour and other content of dubious origin via interpersonal networks (<= em>e.g., friends and family) on social media, we might assume that thi= s is liable to spark greater confusion, fear, panic, anxiety and other nega= tive emotions in comparison to, say, mainstream media. But through a nation= ally representative survey of U.K. news users we show that, on the whole, t= here were no significant statistical or practical differences in audiences= =E2=80=99 emotional responses to the news between those who rely on social = media as their primary source for COVID-19 news, and those who rely on othe= r sources of news. Rather, we observe similarly high levels of negative and= positive emotional responses for all types of news source. Findings are di= scussed in light of ongoing debates around news sources, emotions and publi= c health.

Contents

Introduction
News, negativity, and COVID-19
Social media and the =E2=80=98infodemic=E2=80=99 Method
Findings
Discussion and conclusion

 

 

Introduction

The media has been central to public experiences of the COVID-19 pandemi= c (Zheng, et al., 2020). In every country where we have data, news= consumption saw a dramatic surge during the first wave of the pandemic, as= people all over the world sought information and guidance about the virus = (Broersma and Swart, 2022; Nielsen, et al., 2020; Van Aelst, e= t al., 2021). In the U.K., for example, a remarkable 99 percent of onl= ine users accessed news at least once a day during the first week of lockdo= wn (Ofcom, 2020). While news consumption across all platforms saw a rise (N= ielsen, et al., 2020), where people secured their news from was of= crucial importance, given the different levels of information quality betw= een and levels of trust towards various news sources. Indeed, the potential= public health consequences of widespread disinformation (the deliberate di= ssemination of false or inaccurate information in order to deceive the publ= ic), misinformation (the sharing of inaccurate and misleading information w= ithout malicious intent) and conspiracy theories emerging around the global= health crisis prompted health authorities all over the world to direct cit= izens towards credible sources of news and information (Mukherjee, et a= l., 2021).

Amongst such public health consequences are the impacts on emotional and= psychological well-being. A meta-analysis by Salari, et al. (2020= ) found consistent evidence that the COVID-19 pandemic triggered significan= tly increased levels of stress, anxiety and depression across multiple cont= exts, and this might have become more profound as the pandemic evolved. The= World Health Organization (WHO) found that the global prevalence of anxiet= y and depression increased by 25 percent over the first year of the pandemi= c (WHO, 2022). This rise in COVID-related mental health problems has been d= escribed as the =E2=80=98second pandemic=E2=80=99 by some U.K. health leade= rs (Gregory, 2022). The emotional and mental health outcomes of the COVID-1= 9 pandemic are important for investigation because distress symptoms are di= sruptive across multiple domains of life, including physical health, family= and work (Kowaleski-Jones and Christie-Mizell, 2010; Ramchandani and Psych= ogiou, 2009). As Garfin, et al. [1] explain, =E2=80=9Crepeated media exposure to community crisi= s can lead to increased anxiety, heightened stress responses that can lead = to downstream effects on health, and misplaced health-protective and help-s= eeking behaviours that can overburden health care facilities and tax availa= ble resources=E2=80=9D.

Our contribution to this debate is to focus attention on primary sources= of news during the COVID-19 pandemic, and its relationship with their emot= ional responses to COVID-19 news. Existing research has begun to document s= ome of the troubling links between COVID-19 news consumption, emotional and= psychological well-being (Bendau, et al., 2021; Lu, et al., 2021; Stainback, et al., 2020), but precisely which sources of= news are more likely to be related to such phenomena is still relatively u= nknown. Given the greater likelihood of encountering disinformation, rumour= and other content of dubious origin via interpersonal networks (e.g., friends and family) on social media, we might assume that this is liab= le to spark greater confusion, fear, panic, anxiety and other negative emot= ions (Garfin, et al., 2020) in comparison to, say, mainstream medi= a. But in this paper we show that, on the whole, there were no significant = statistical or practical differences in audiences=E2=80=99 emotional respon= ses to the news between those who rely on social media as their primary sou= rce for COVID-19 news, and those who rely on other sources of news. Rather,= we observe similarly high levels of negative and positive emotional respon= ses for all types of news source. In so doing, we contribute to the study o= f news, media and public health outcomes in the following ways. First, we p= rovide one of the first empirical assessments of how COVID-19 news affects = emotional states in the United Kingdom (U.K.). Second, we shift debate from= a primary focus on the negative emotional and mental well-being outcomes o= f COVID-19 news to a consideration of the positive impacts that audiences e= xperienced through news consumption. Third, we seek to encourage the centri= ng of the news media in our understanding of the emotional and mental healt= h impacts of health pandemics.

 

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News, negativity, and COVID-19

There are established links between exposure to negative news and negati= ve mental states. Recent literature shows that the more a user is exposed t= o news about traumatic events, the more likely they will suffer psychologic= al damage. For example, exposure to information about various terrorist eve= nts all left adverse effects on the mental health of news users, especially= with consistent exposure (de Hoog and Verboon, 2020; Unz, et al.,= 2008). These findings indicate that people do not need to be directly in c= ontact with a traumatic event to experience discomforting effects.

COVID-19 is undoubtedly a traumatic event that directly confronts everyo= ne. For that reason, the media cannot ignore its traumatic elements, includ= ing the danger of the virus and the adverse consequences of this disease, i= n reporting this crisis. Journalists are also reporting a topic that is def= ined by uncertainties, especially during the early months of the outbreak. = Perhaps unsurprisingly then, studies of news coverage of the pandemic have = found it to be a primarily negatively framed news story (Ogbodo, et al.= , 2020). For example, an analysis of 141,208 headlines of global Engli= sh news stories found negative sentiments outweighed positive ones 52 perce= nt to 30 percent (Aslam, et al., 2020). An investigation into 5,28= 5 articles about coronavirus published in online versions of USA Today,= Wall Street Journal, and New York Times between January and = March 2020 shared similar results: the five most common themes were =E2=80= =9Cfinancial impact of COVID-19=E2=80=9D (11.6 percent), =E2=80=9Cstories o= f affected individuals=E2=80=9D (7.0 percent), =E2=80=9Cdeath and death rat= es=E2=80=9D (6.8 percent), =E2=80=9Cprecaution recommendations for public= =E2=80=9D (6.2 percent), and =E2=80=9Cquarantine=E2=80=9D (5.9 percent) (Ba= sch, et al., 2021).

Existing research tells us that consuming large amounts of hard news (to= pics such as politics, economics and social affairs) (Bodas, et al., 2015; Boukes and Vliegenthart, 2017) and negative news (de Hoog and Verb= oon, 2020; Unz, et al., 2008) can have detrimental impacts on psyc= hological well-being. Perhaps it is of little surprise, then, that studies = have found that exposure to COVID-19 news can lead have negative emotional = and mental consequences, though this is not a straightforward picture. In t= he U.S., 43 percent indicated =E2=80=9Cfeeling worse emotionally=E2=80=9D a= fter consuming pandemic news (Mitchell, et al., 2020) while a thir= d of Danes cited bad effects of pandemic news on their mood (Constructive I= nstitute, 2020). In the U.K., 66 percent of those who avoided COVID-19 news= cited its =E2=80=9Cbad effect on my mood=E2=80=9D (Kalogeropoulos, et = al., 2020). One U.S. study found that greater COVID-19 media consumpti= on is associated with greater psychological distress and that around two th= irds of this effect operates indirectly through increased perceptions of CO= VID-19 threats (Stainback, et al., 2020). Adding more nuance to th= ese headlines, an online survey in Germany found the frequency, duration an= d diversity of COVID-19 related media exposure was positively associated wi= th symptoms of depression, COVID-specific and COVID-unspecific anxiety (Ben= dau, et al., 2021). Here, those exposed to COVID-related news seve= n times or 2.5 hours per day would pass the critical threshold =E2=80=9Cto = mark the difference between mild and moderate symptoms of (un)specific anxi= ety and depression=E2=80=9D [2].= Amongst Chinese adults, spending at least two hours following COVID-19 rel= ated news is associated with probable depression and anxiety (Ni, et al= ., 2020), while in Thailand this number is three hours (Mongkhon, = et al., 2021).

Such studies reveal =E2=80=98associations=E2=80=99 rather than cause and= effect, and when examined in closer detail, further nuances emerge. For ex= ample, Broersma and Swart (2022) found that news consumption and pandemic s= tress levels are not unidirectional. Users might temporarily consume more n= ews to cope with a higher degree of stress and anxiety, or they might exper= ience a higher stress level from intense news following, which might then l= ead to news aversion. Meanwhile, affective cues, which encompass emotional = involvement with the news, could either enhance news experience (positive i= nvolvement) or diminish it through dissatisfaction with journalistic offers= .

 

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Social media and the =E2=80=98infodemic=E2=80= =99

The COVID-19 pandemic and the 24/7 news cycle have created a social cont= ext in which negative emotions and psychological distress can proliferate (= Stainback, et al., 2020). This can result from a negative slant of= news, the conflicting advice from different information sources such as th= e news, public health experts and politicians; or just the sheer volume of = information that citizens are processing. In this context, in March 2020 th= e World Health Organization (2020) warned global citizens against the so-ca= lled =E2=80=98infodemic=E2=80=99 characterised by the widespread disseminat= ion of disinformation, misinformation, rumours and conspiracy theories emer= ging around the pandemic, that might likely contain harmful information lia= ble to spark confusion, fear, panic, anxiety and other negative emotions (G= arfin, et al., 2020) as well as street unrest. As places where ver= ified and unverified information share the same platform, many have pointed= the finger of blame at social media for this problem (see Volkmer, 2021). = Even before the COVID-19 pandemic, a systematic literature review by Wang a= nd colleagues (2019) on the spread of online health misinformation showed a= high prevalence and popularity of misinformation on social media.

Furthermore, research has highlighted several other consequences of soci= al media news consumption. Across multiple countries and time points, use o= f social media as a main news source is associated with lower levels of tru= st in news (Kalogeropoulos, et al., 2019; Park, et al., 2= 020). Social media also seems to have a deleterious relationship with polit= ical knowledge. Van Erkel and Van Aelst [3] find that =E2=80=9Cunlike following news via traditional media = channels, citizens do not gain more political knowledge from following news= on social media. We even find a negative association between following the= news on Facebook and political knowledge=E2=80=9D. Other studies have reve= aled how news consumption on social media can lead to a sense of informatio= n overload, leading to feelings of stress (Song, et al., 2017) and= cognitive burden (Crook, et al., 2016), leading to impaired under= standing of news stories (Park, 2019; Schmitt, et al., 2018).

At the same time, social media are becoming increasingly important sources of news and information for citizens all over the world (Newman= , et al., 2021), particularly during fast-moving events such as di= sasters (Jones, et al., 2016), and the ongoing COVID-19 pandemic (= Merchant and Lurie, 2020). Here, social media news consumption can include = both following news organisation accounts but also, and significantly, rely= ing on friends and relatives as a valuable source for news and information = (Hermida, et al., 2012). Indeed, studies show that one=E2=80=99s s= ocial media network plays an important part in stimulating interest and for= ming news consumption and distribution patterns (Anspach, 2017; Bergstr=C3= =B6m and Jervelycke Belfrage, 2018).

Some would argue that the eliciting of emotions is built into the algori= thmic design and predominant user cultures of various social media platform= s (Stark, 2018). This can work in both directions, with interaction on soci= al media found to be associated with positive well-being outcomes such as g= reater perceived closeness, more positive affect, higher self-esteem and lo= wer loneliness (Manago, et al., 2020; Neubaum and Kramer, 2015; Su= brahmanyam, et al., 2020; Yang and Brown, 2013). In contrast, othe= r studies have documented how the consumption of social media can induce up= ward social comparison and, thus, poor well-being (Rosenthal-von der P=C3= =BCtten, et al., 2019; Vogel, et al., 2014). In the conte= xt of news specifically, negative news content can draw longer viewing time= s and elicit more attention than positive posts (K=C3=A4tsyri, et al., 2016). Moreover, the consumption of pro-attitudinal partisan news on s= ocial media is associated with increased anger (though not anxiety), direct= ed at political opponents and that anger can subsequently facilitate inform= ation sharing about political issues on social media (Hasell and Weeks, 201= 6). Social media have also been found to be a breeding ground for online in= civility as they provide a conducive environment to abusive online interact= ions. In the first year of the pandemic, for instance, 82 percent of respon= dents to Microsoft=E2=80=99s (2021) annual Civility, Safety and Interaction= s Online study reported a net increase in their perceived level of online i= ncivility, which can be attributed to general pandemic fatigue, anxieties, = frustration, anger and other negative emotions.

Given some of these dynamics, it is important to parse the emotional imp= acts of social media in relation to various other health news and informati= on sources in the context of the COVID-19 pandemic. However, to date, most = studies have looked at COVID-19 media or news consumption as a whole. Of th= e few studies to have examined information sources separately, Bendau, = et al. (2021) found that all types of media consumption were related t= o higher levels of anxiety and depression, but that social media consumptio= n was particularly more likely to be related to feelings of fear, anxiety a= nd depression compared to other information sources. Similarly, Lu, et = al. (2021) examined the emotional impacts of different COVID-19 inform= ation sources, including health professionals, academic organisations, gove= rnment agencies, news media, social media, family and friends, moderated by= the level of trust. They found that COVID-19 information from social media= , family and friends =E2=80=94 sources with a lower trust =E2=80=94 were mo= re likely trigger negative emotions in readers, including anxiety, anger an= d fear. In turn =E2=80=94 and perhaps most worryingly =E2=80=94 participant= s were more likely to share content from these sources across their own net= works, therefore potentially facilitating a negative contagion effect. With= a sample of Chinese college students, Zhao and Zhou (2020) found that peop= le who spent more time on social media reported more secondary traumatic st= ress (STS), depression and anxiety. Finally, looking only at =E2=80=98onlin= e health information=E2=80=99 rather than social media or other sources spe= cifically, Shabahang, et al. (2020) found that seeking online heal= th information and believing in the validity of such information was associ= ated with greater COVID-19 anxiety.

Together, this emergent literature would appear to support the hypothesi= s that those who primarily rely on informal, non-expert sources on social m= edia for COVID-19 information will experience more negative emotions and ps= ychological distress compared to a reliance on other information sources. B= ut only further research can determine this, especially as we cannot assume= that the findings of studies in Iran (Shabahang, et al., 2020), C= hina (Zhao and Zhou, 2020) and Germany (Bendau, et al., 2021) will= necessarily translate to other national contexts, such as the U.K.

H1: People wh= o rely the most on friends and relatives on social media for COVID-19 news = experience more negative news-induced emotions than those who rely on other= news sources.

Second, previous literature has primarily focussed on the negative emoti= onal outcomes of COVID-19 news consumption. But assuming that news consumpt= ion does not just elicit negative emotions, but positive emotions too (Bade= n, et al., 2019; Kleemans, et al., 2017; McIntyre and Gib= son, 2016), we draw attention to the possibility that different news source= s might prompt a different range of positive emotions in relation to COVID-= 19 news. Given the direction of previous literature, we would hypothesise:<= /p>
H2: People wh= o rely the most on friends and relatives on social media for COVID-19 news = experience fewer positive news-induced emotions than those who rely on othe= r news sources.

 

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Method

Results were gathered through a national survey of U.K. adults conducted= with a professional polling company, Opinium. Opinium recruited participan= ts from a consumer panel of about 40,000 U.K. citizens who sign up to take = part in its surveys on a range of subjects in exchange for small incentives= . To prevent potential response bias, participants were not told about the = subject of the survey when they were invited to. The final sample included = 2,015 qualified respondents, which were stratified (by age, gender, ethnici= ty, region, and social class) to ensure representativeness with the U.K.=E2= =80=99s adult population. The survey itself was live from 22 to 24 March 20= 21 =E2=80=94 during the third of the U.K.=E2=80=99s lockdowns and exactly o= ne year after the U.K. went into the first lockdown on 23 March 2020.

 

<= td>2
T= able 1: Survey sample demographics by percentage (n=3D2,015).
Gender
Male48.9
Female51.1
Age
18=E2=80=933427.8
35=E2=80=935433.2
55+39
Ethnicity
White91.8
Ethnic minority7.1
Region
North East4.1
North West11
Yorkshire and Humberside8.2
East Midlands7.3
West Midlands8.8
East of England8.3
London12.2
South East13.7
South West8.6
Wales4.8
Scotland8.4
North Ireland2.8
Education
No formal qualifications6.7
GCSE, Standard Grades or equivalent
(e.g., BTEC, S/NVQ level 2)		21.9
A Level, Highers or equivalent
(e.g., = BTEC, S/NVQ level 3)		19.6
Certificate of Higher Education or equivalent
(= e.g., HNC, BTEC, S/NVQ level 4)		6.6
Diploma of Higher Education or equivalent
(= e.g., HND/Foundation Degree, BTEC, S/NVQ level 5)		6.2
Undergraduate Degree or equivalent
(e.g., BA, BSc)		21.6
Postgraduate Cert or Dip4.3
MBA1
Other Master=E2=80=99s Degree
(e.g., M= A, MSc, PGCE, PGDE)		6.2
Doctoral Degree
(e.g., PhD, DBA)
Professional qualifications
(e.g., CIM= A, ACCA)		3.8

 

Measures: Dependent variables

While there are many competing definitions of emotions they are, in gene= ral, viewed as internal mental states representing evaluative valenced reac= tions to events, agents or objects (Nabi, 2010; Ortony, et al., 19= 88). Taking the dimensional view of emotions (see Nabi, 2010), these variat= ions in valence can span from positive/pleasure (e.g. happiness, e= uphoria, satisfaction, curiosity etc.) to negative/displeasure (e.g., sadness, anger, anxiety, fear etc.). Drawing on previous measures appli= ed across psychology and communication sciences (Bendau, et al., 2= 021; Ekman, 2003; Nabi, 2002), adapted for the context of our study, five i= ndicators of positive emotional responses to the news were developed. Measu= red on five-point scales (ranging from 1, =E2=80=98never=E2=80=99 to 5, =E2= =80=98very often=E2=80=99), these questions asked participants when followi= ng news about COVID-19 over the past 12 months, how often have they experie= nced happiness (M =3D 2.69, SD =3D 0.84), optimism (M= =3D 3.06, SD =3D 0.89), sympathy (for those who fall victim = to COVID-19) (M =3D 3.89, SD =3D 0.99), motivation (to he= lp other people) (M =3D 3.08, SD =3D 0.88), and control (= over their life) (M =3D 2.93, SD =3D 0.93). On the same s= cales, negative emotional responses to following news over the past 12 mont= hs included fear (of what might happen to me) (M =3D 2.94, SD<= /em> =3D 1.03), anxiety (M =3D 3.02, SD =3D 1.03), anger = (over something mentioned in the news) (M =3D 3.30, SD = =3D 1.02), disgust (at the actions of other people) (M =3D 3.72, <= em>SD =3D 0.99), overloaded (with information about COVID-19) (M =3D 3.37, SD =3D 1.06) and despair (M =3D 3.27, S= D =3D 1.05).

Measures: Independent variables

Alongside gauging overall news consumption habits (not reported in this = paper), we asked participants what their single most important source o= f COVID-19 news was. Choices included local and national government ag= encies (9.2 percent), health authorities (e.g., NHS, WHO) (16.6 pe= rcent), scientific institutions (e.g., universities, research orga= nisations) (6.9 percent), mainstream media (53.7 percent), friends and rela= tives on social media (7.2 percent), alternative news sources (e.g., The Canary, Skwawkbox, Spiked) (2.9 percent) and others (3.3 percent).

Data analysis

First, a set of one-way ANOVA tests was carried out to confirm the diffe= rences of each emotion between seven groups of news preferences. Post-hoc T= ukey-Kramer test performance subsequently followed to identify where these = differences lay, i.e., between which groups of news preferences. I= t should be noted that Tukey-Kramer was selected over the standard Tukey te= st due to the unequal sample size in each group of news source preferences = (see Lee and Lee, 2018). It is also worth noting that Levene=E2=80=99s test= , which is to test the homogeneity of variance =E2=80=94 one crucial requir= ement of the ANOVA test =E2=80=94 was always run during the ANOVA process. = If they were violated =E2=80=94 indicated by sig. <.05, we would run Wel= ch=E2=80=99s ANOVA instead of the standard one-way ANOVA and choose the pos= t-hoc Games-Howell=E2=80=99s test over the Tukey-Kramer=E2=80=99s test to e= xplore the existing differences=E2=80=99 positions (see McDonald, 2014).

Neither Tukey-Kramer=E2=80=99s test nor Games-Howell=E2=80=99s test, whi= le serving the task of identifying where the differences were, could not te= ll how practically significant they were. As both tests are categorised as = pairwise tests, Cohen=E2=80=99s d effect size calculation was util= ised to clarify this aspect (Balkin, 2008). Effect sizes are determined as = small (d =3D 0.2), medium (d =3D 0.5), and large (d =3D 0.8) based on benchmarks suggested by Cohen (1988).

 

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Findings

 

= Alternative news sources= = 3.313.49= <= /tr>
= Table 2: Association between negative emotional responses and primary news = sources for COVID-19 (ANOVA among the variables expressed in F-value and Et= a squared).
Note: *=E2=89=A4 .05; **=E2=89=A4 .01; ***=E2=89=A4= .001; a. Assessed by one-way ANOVA with Welch statistics/Welch=E2=80=99s A= NOVA
 Most relied-o= n COVID-19 news sources
Negative emotional responsesLocal and national government agenciesHealth auth= oritiesScientific institutionsFriends a= nd relatives on social mediaMainstream mediaOthersF- valueEta squared<= /em>
Feel fearful about what might happen to me.2.883.092.9= 83.212.873.292.645.91***.017<= /td>
Feel anxious about might happen to me.2.953.233.153.082.963.192.704.87***.014
Get angry because something mentioned in the news.3.443.393.213.243.362.40*.= 007
Feel disgusted by the action of some people in the news.3.773.823.643.303.773.633.546.18***.018
Feel overloaded with news about Covid-19.3.373.423.393.323.343.443.60.842.003
Feel despair at the current situation.3.153.443.343.333.213.473.103.17**.009

 

We begin by focussing on the relationship between primary sources of COV= ID-19 news and negative emotions. The levels of fear (of what might hap= pen to me) were significantly different between groups depending on th= eir most important news sources for COVID-19 (F(6, 2008) =3D 5.915, p <.= 001, =CE=B72 =3D .017), so were those for anxiety (F(6,= 2008) =3D 4.872, p <.001, =CE=B72 =3D .014), anger = (F(6, 2008) =3D 2.406, p =3D.025, =CE=B72 =3D .007), disgust= (F(6, 320 ) =3D 5.986 , p <.001, =CE=B72 =3D .018) and = despair (F(6, 2008) =3D 3.484, p =3D.004, =CE=B72 =3D .= 009). In all these cases, however, while statistically significant, the eta= -squared figures suggest that these differences are very small. Meanwhile, = there was no statistically significant relationship between news source pre= ference and feelings of being overloaded with news about COVID-19 = (p =3D .537).

After the statistically significant differences had been confirmed, we r= an post-hoc tests to determine where the differences lie among our seven gr= oups of news source preferences. A Tukey-Kramer post-hoc test followed the = standard one-way ANOVA while Games-Howell post-hoc test was chosen after a = one-way ANOVA test with a Welch statistic. This allowed us to pinpoint if e= motional responses differed between those who chose social media as the mos= t important source for COVID-19 and those who favoured other news sources. = We subsequently tested each emotion variable that had significant differenc= es depending on one=E2=80=99s primary news source, paying attention to both= statistical (t-test) and practical (Cohen=E2=80=99s d) difference= s (Table 3)).

 

=       
= Table 3: Statistical and practical differences in effects of social media v= s. other channels as primary news sources on NEGATIVE emotional responses t= o COVID-19 news.
Note: *=E2=89=A4 .05; **=E2=89=A4 .01; ***=E2= =89=A4 .001; Effect size is assessed by Cohen=E2=80=99s d; Blank c= ells indicate no statistically significant differences.
  Vs. local and national government agencies Vs. health authorities Vs. scientific institutions Vs. mainstream media Vs. alternative news sources Vs. others
 Mean Diff.Effect sizeMean Diff.Effect sizeMean Diff.Effect sizeMean Diff.Effect sizeMean Diff.Effect siz= eMean Diff.Effect size
Feel fearful about what might happen to me. =      = .337**.322  .565**.551
Feel anxious about things that might happen to me.         
Get angry because something mentioned in the news.         
Feel disgusted by the action of some people in the news.-.472**-.482-.524**-.53= 5  -.475**-.495  = ;  

 

These tests revealed that those who rely on social media for COVID-19 ne= ws were significantly more likely to be fearful about what might happen= compared to those who primarily use mainstream media (MD =3D .337, p = <.001, Cohen=E2=80=99s d =3D .322) and =E2=80=98other=E2=80=99 = news sources (MD =3D .565, p <.001, Cohen=E2=80=99s d =3D .551= ). For all other sources of news, there were no significant relationships. = Feeling disgusted by the action of some people in the news was sig= nificantly lower for the social media group compared to those who primarily= consume COVID-19 news from local and national government agencies (MD =3D = -.472, p <.001, Cohen=E2=80=99s d =3D -.482), health authoriti= es (MD =3D -524, p <.001, Cohen=E2=80=99s d =3D -.535) and mai= nstream media (MD =3D -.475, p <.001, Cohen=E2=80=99s d =3D -.= 495).

The levels of anxiety related to news consumption were signific= antly different between COVID-19 news source preferences (see Table 2). However, the difference did not lie between the so= cial media group and the rest of the news source preferences because Tukey-= Kramer post-hoc test results p-values are all above the alpha level. A simi= lar conclusion was drawn for the emotions of anger and despair= .

In summary, given that only one of six negative emotions felt in respons= e to consuming COVID-19 news was significantly related to social media use = (compared to other news sources), H1 cannot be supported.

 

= Alternative news sources3.21<= td align=3D"center">3.14
= Table 4: Association between positive emotional responses and primary news = sources for COVID-19 (ANOVA among the variables expressed in F-value and Et= a squared).
Note: *=E2=89=A4 .05; **=E2=89=A4 .01; ***=E2=89=A4= .001; a. Assessed by one-way ANOVA with Welch statistics/Welch=E2=80=99s A= NOVA
 Most relied-o= n COVID-19 news sources
Positive emotional responsesLocal and national government agenciesHealth auth= oritiesScientific institutionsFriends a= nd relatives on social mediaMainstream mediaOthersF- valueEta squared<= /em>
Feel happy about what is reported in the newsa.= 2.76 2.642.822.902.6= 62.802.364.72***.014
Feel that things will get better out there.3.153.033.0= 43.103.092.982.692.63.008
Feel sympathetic for those who fall victim to COVID-19.3.834.023.813.413.993.493.4013.63***a.039
Feel motivated to help other people.3.093.253.293.013.002.667.78***a.= 023
Feel a sense of control over my life.2.962.913.062.902.812.942.22*.007

 

A similar story emerges when we look at positive emotional responses to = COVID-19 news (Table 4). Feelings of happine= ss were significantly different between groups based on their most imp= ortant sources for COVID-19 news (F(6, 2008) =3D 4.721, p < .001, =CE=B7= 2 =3D .014), as were those for sympathy (F(6, 2008) =3D= 13.632, p < .001, =CE=B72 =3D .039), motivation (F(= 6, 2008) =3D 7.789, p < .001, =CE=B72 =3D .023) and contr= ol (F(6, 2008) =3D 2.228, p < .05, =CE=B72 =3D .007). Ho= wever, and again, while statistically significant, the eta-squared figures = (ranging from .007 to .039) suggest that news source preference can only ex= plain a very small proportion of variation in emotional responses to the ne= ws. Optimism (feeling that things will get better out there) level= s were not related to one=E2=80=99s primary news source (p =3D .066).

 

=    <= td> 
= Table 5: Statistical and practical differences in effects of social media v= s other news channels as primary news sources on POSITIVE emotional respons= es to COVID-19 news.
Note: *=E2=89=A4 .05; **=E2=89=A4 .01; ***= =E2=89=A4 .001; Effect size is assessed by Cohen=E2=80=99s d; Blan= k cells indicate no statistically significant differences.
  Vs. local and national government agencies Vs. health authorities Vs. scientific institutions Vs. mainstream media Vs. alternative news sources Vs. others
 Mean Diff.Effect sizeMean Diff.Effect sizeMean Diff.Effect sizeMean Diff.Effect sizeMean Diff.Effect siz= eMean Diff.Effect size
Feel happy about what is reported in the news.&nb= sp;    &nb= sp;   .545**.564
Feel that things will get better out there. =      =      =  
Feel sympathetic for those who fall victim to COVID-19.-.426**-.430-.617**-.633= -.407**-.405-.582**<= strong>-.612   =  
Feel motivated to help other people.        .550**.565
Feel a sense of control over my life.      .247**.273 <= /td>   

 

T-tests with Cohen=E2=80=99s d effect size calculations were ag= ain used to identify the statistical and practical significance of any posi= tive emotion=E2=80=99s differences that exist between group of social media= vs groups of the other news sources (Table 5). = When we look closer at the statistically significant relationships, we find= that happiness about what is reported in the news (MD =3D .545, = p < .001, Cohen=E2=80=99s d =3D .564) and motivation t= o help others (MD =3D .550, p < .001, Cohen=E2=80=99s d =3D .5= 65) is significantly higher for those who primarily rely on social media fo= r news in comparison to those who use =E2=80=98other=E2=80=99 sources of ne= ws, but there were no significant differences for any of the other news sou= rces. Those whose primary news source is social media are significantly les= s likely to feel sympathy for those who fall victim to COVID-19 th= an those who rely on local and national government agencies (MD =3D -.426, = p < .001, Cohen=E2=80=99s d =3D -.430), health authorities (MD= =3D -.617, p < .001, Cohen=E2=80=99s d =3D -.633), scientific= institutions (MD =3D -.407, p < .001, Cohen=E2=80=99s d =3D -= .405) and mainstream media (MD =3D -.582, p < .001, Cohen=E2=80=99s = d =3D -.612). A sense of control among social media users is = greater compared to those who rely on mainstream media (MD =3D .24= 7, p < .01, Cohen=E2=80=99s d =3D .273) as a primary news sour= ce. Since only sympathy gets close to consistently significantly d= ifferences between people who are most reliant on social media for COVID-19= news than other news sources that we tested, H2 is, at best, only= partly supported.

 

3D"++++++++++"

Discussion and conclusion

The aim of this paper was to test the hypothesis =E2=80=94 supported by = previous literature =E2=80=94 that people who rely the most on friends and = relatives on social media for COVID-19 news experience more negative news-i= nduced emotions than those who rely on other news sources. Furthermore, and= in an expansion of this literature, we also tested the hypothesis that soc= ial media-reliant news users would experience fewer positive news-induced e= motions than those who rely on other news sources. This research agenda was= developed in the context of concern over the role of social media in relat= ion to the COVID-19 =E2=80=98infodemic=E2=80=99, and the serious implicatio= ns this might have for engagement with public health guidelines.

However, when it comes to the emotions associated with the consumption o= f news, we found very little practical differences between those who primar= ily consume pandemic news through social media and those who rely the most = on other sources. Supporting some previous studies (Bendau, et al.= , 2021; Lu, et al., 2021), we found that social media users experi= enced more fear than those who relied on some other news sources (including= mainstream media), but this was not the case for other negative emotions. = Indeed, social media users were significantly less likely to associate news= consumption to one negative emotion =E2=80=94 disgust =E2=80=94 in compari= son to some other news sources. Based on our data, it is therefore hard to = sustain the argument that consistent exposure to news on social media resul= ts in more negative emotional responses. Given the downstream health-relate= d behaviours that are associated with negative emotional states (e.g., Garfin, et al., 2020; Ramchandani and Psychogiou, 2009), this= may be considered promising news. Our findings may also be seen as a corre= ctive to some of the more alarmist accounts of social media=E2=80=99s impac= t on mental health during the pandemic.

But this is not the end of the story. While social media may not consist= ently elicit more negative emotions than other news sources, this does not = mean that we should be sanguine about its role during the COVID-19 pandemic= . This is because when we look at the overall means for negative emotions f= or all news sources (Table 2), they are quite hi= gh across the board (overall mean =3D 3.27, SD =3D .693, based on = five-point scale). This suggests that the format or platform of news media = consumption is not likely the key variable, but rather that exposure to COV= ID-19 news =E2=80=94 on any platform =E2=80=94 had deleterious consequences= for mental health. This would put our findings at odds with those who find= social media to have worse mental health outcomes than other news sources = (Bendau, et al., 2021; Shabahang, et al., 2020; Zhao and = Zhou, 2020) and instead align with those who find equally negative effects = for all news (see Stainback, et al., 2020).

This story is made more complex when we consider the positive emotional = responses elicited by COVID-19 news. We found only very limited support for= our hypothesis that social media-reliant news users would experience fewer= positive news-induced emotions than those who rely on other news sources. = Indeed, the overall means for positive emotional responses for all news sou= rces (Table 2) are relatively high (M = =3D 3.13, SD =3D .565), and comparable to the overall mean for neg= ative emotions. This is an important finding in light of debates over the n= ews media=E2=80=99s role during the pandemic, which has been dominated by t= he proposition =E2=80=94 supported by several studies =E2=80=94 that exposu= re to COVID-19 news often had negative mental health implications. Our stud= y shows that COVID-19 news can simultaneously elicit both negative and<= /em> positive emotional responses. Of course, the fact that the news can tr= igger positive emotions should come as no surprise as it is well establishe= d in journalism studies literature (Baden, et al., 2019; Kleemans,= et al., 2017; McIntyre and Gibson, 2016). Furthermore, global stu= dies of pandemic news coverage show that positive news frames such as =E2= =80=98hope=E2=80=99 punctuated the primarily negative news agenda (Ogbodo, = et al., 2020). In the U.K., for example, Sir Captain Tom Moore=E2= =80=99s =E2=80=9CWalk for the National Health Service=E2=80=9D (where the 9= 9-year-old World War II veteran walked laps of his garden to raise funds fo= r the NHS) was a regular =E2=80=98feel good=E2=80=99 news story throughout = the summer of 2020 and penetrated the public=E2=80=99s experiences of COVID= -19 news. In addition, stories on how individuals and organisations deal wi= th the many problems of the pandemic or those providing daily-life tips on = how to overcome lockdown fatigue, have been perceived to elicit positive ef= fects on psychological well-being. But this study is amongst the first to e= stablish the range of positive emotions elicited by news consumption across= media channels in the context of COVID-19. Given the direction of= our findings, future research might pay more attention to the consequences= of positive emotional responses to pandemic news in terms of, for example,= pro-social and pro-health related behaviours.

There still remains an unresolved question that emerges from our finding= s, which is why =E2=80=94 in contrast to the expectations of the l= iterature =E2=80=94 was social media no more likely to trigger negative (or= positive) emotions than other news sources? While there are no straightfor= ward answers here, we offer two potential explanations. First, we know that= social media is a place where rumour, conspiracy theories and misinformati= on are more likely to proliferate (Shu, et al., 2017; Sharma, = et al., 2019); and that resultantly it is =E2=80=94 on the whole =E2= =80=94 a less reliable space for quality information compared to other news= sources such as mainstream media or scientific institutions. Furthermore, = despite lower levels of trust in information on social media compared to ot= her news sources (Karlsen and Aalberg, 2021), those who primarily rely on s= ocial media might be more likely to believe in such mis- and disinformation= (Mitchell, et al., 2021). However, the impacts of these phenomena= are more likely to be seen in assessments of citizens=E2=80=99 knowledge, = understanding and beliefs, and not necessarily emotions. Second, and relate= dly, we are reminded that some social media platforms such as Facebook and = Instagram are spaces that =E2=80=94 through design =E2=80=94 privilege posi= tive affect (boyd, 2010; Spottswood and Hancock, 2016). For example, key af= fordances such as reactions, emojis and stickers offer a greater range of p= ositive than negative emotions. The influence of marketing and advertising,= and the associated aspirational, cheery worldview, runs through the cultur= e of such platforms (Carter, 2014; Stark and Crawford, 2015; Utz, 2015). It= is more difficult to sustain this argument for Twitter, of course, but thi= s positivity imperative (Paasonen, 2016) of social media may provide some e= xplanation for our findings.

The findings of this study should be understood considering its limitati= ons. One such limitation is the question of causality. Some cross-sectional= surveys have correlated sources of news with measured emotions at the time= the survey was taken, (e.g., Lee, et al., 2021). Our stu= dy addressed causality slightly more directly by exploring positive and neg= ative emotional responses to the news. But there are still more robust meas= ures and methods to deepen our understanding of causality. For instance, sc= holars could implement more experimental and panel designs. Intensive longi= tudinal designs such as daily diaries or experience sampling may better cap= ture the concurrent variations of emotions and social media use patterns on= a daily level (Zhao and Zhou, 2020). We also do not test for bidirectional= relationships. Here, a negative feedback loop could exist between news con= sumption and various forms of psychological distress, that may encourage mo= re media consumption, which in turn increases the psychological distress. S= imilarly, a feedback loop may also be evident where negative emotional resp= onses to the news lead to more news avoidance.

Our study also did not isolate either underlying anxiety or existing men= tal health issues as influencers in causing negative psychological response= s to news about COVID-19. We are therefore unable to see changes in emotion= al states compared with a baseline status. Nekliudov, et al. (2020= ), for instance, found the effect of excessive reception of COVID-19 inform= ation on increased state anxiety was particularly strong among respondents = with low trait anxiety. Similarly, Fraser, et al. (2022) reported = that college students with less anxiety symptoms who displayed an increase = in social media use because of COVID-19 also displayed increased concern fo= r their future while people with more depressive symptoms showed a positive= interaction between increased social media use and concern for society.

Further, our focus was on social media as a news source, but future rese= arch might benefit from parsing each social media platform. As Kreiss, = et al. (2018) argue, different platforms increasingly have their own a= ffordances, audiences, and genres: the norms and social conventions unique = to various social media platforms. On this basis, it is possible that those= who follow news on Twitter have different emotional responses than those o= n Instagram or TikTok. 3D"End

=20

 

About the authors

Daniel Jackson is Professor of Media and Communication = in the Department of Communication and Journalism at Bournemouth University= .
Direct comments to: jacksond [at] bournemouth [dot] ac [dot] uk

An Nguyen is Professor of Journalism in the Department = of Communication and Journalism at Bournemouth University.
E-mail: anguy= en [at] bournemouth [dot] ac [dot] uk

Khanh Hoang is a doctoral candidate and research assist= ant in the Department of Communication and Journalism at Bournemouth Univer= sity.
E-mail: khoang [at] bournemouth [dot] ac [dot] uk

 

Notes

1. Garfin, et al., 2= 020, p. 355.

2. Bendau, et al., 2= 021, p. 283.

3. Van Erkel and Van Aelst, 2= 021, p. 407.

 

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Editorial history

Received 10 August 2022; revised 4 October 2022; accepted 19 October 202= 2.

=3D"Creative
This paper is licensed under a Creative Commons Attribution-No= nCommercial-ShareAlike 4.0 International License.

News sources and emotional responses to COVID-19 news: Findings from U.K= . news users
by Daniel Jackson, An Nguyen, and Khanh Hoang.
First= Monday, Volume 27, Number 11 - 7 November 2022
https://firstmonday= .org/ojs/index.php/fm/article/download/12744/10737
doi: https://dx.doi.org= /10.5210/fm.v27i11.12744

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