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Modelling Twitter conversations in #favela towards the conceptualization of the eVoice of the unheard.

Inversini, A., Williams, N., Rega, I. and Samakovlis, I., 2020. Modelling Twitter conversations in #favela towards the conceptualization of the eVoice of the unheard. Journal of Information Communication and Ethics in Society, 18 (4), 529-551.

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twitter_Journal of Information, Communication and Ethics in Society.pdf - Accepted Version
Available under License Creative Commons Attribution Non-commercial.


DOI: 10.1108/JICES-09-2019-0101


Purpose – Social media are seen as a powerful tool for fostering interactive peer-to-peer communication for socio-economic analysis in the field of communication for development. This research has been designed to shed light on the power of social media to harvest and understand socially-motivated discussions towards generating recommendationsfor organizations and governments acting at the socio-economic level. Design/methodology/approach – The study presents a large-scale analysis of social media interactions on the topic “#favela” to generate insights into a social network structure, narrative contents and meaning generated. Findings – Structurally, the analysed networks are comparable with those presented in current academic literature; automatic text analysis confirmed the promise of the inner value of communication for development opening the floor to conceptualization of the “eVoices of unheard”, which is the collective and conscious use of social media to mediate community discussions about tangible and intangible issues related to socio-economic development. Originality/value – Framed within the rise of interactive communication for development this research show that social media an support the notion of voice proposed by Couldry (2010) moving from process (i.e. the recording of the voice) towards value (i.e. the possibility of giving an account of one’s life and its conditions to have an impact on human life and resources) thereby understanding intangible issues related with socio-economic development.

Item Type:Article
Uncontrolled Keywords:Semantic similarity; Social media; Social network analysis; eVoices; #Favela
Group:Bournemouth University Business School
ID Code:33668
Deposited By: Symplectic RT2
Deposited On:06 Mar 2020 16:43
Last Modified:14 Mar 2022 14:20


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