Ebola and Localized Blame on Social Media: Analysis of Twitter and Facebook Conversations During the 2014-2015 Ebola Epidemic.
This study aimed to analyze main groups accused on social media of causing or spreading the 2014-2016 Ebola epidemic in West Africa. In this analysis, blame is construed as a vehicle of meaning through which the lay public makes sense of an epidemic, and through which certain classes of people becom...
| Publicado en: | Culture, Medicine & Psychiatry Vol. 44; no. 1; pp. 56 - 80 |
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| Autores principales: | , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Springer Nature
Mar2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=141512692&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 141512692 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 0165005X CMY jtl: Culture, Medicine & Psychiatry issn: 0165005X maglogo: N pubinfo: dt: Mar2020 vid: 44 iid: 1 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 141512692 141512692 NLM31214902 141512692 10.1007/s11013-019-09635-8 NLM31214902 141512692 ppf: 56 ppct: 24 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Ebola and Localized Blame on Social Media: Analysis of Twitter and Facebook Conversations During the 2014-2015 Ebola Epidemic. aug: au: Roy, Melissa Moreau, Nicolas Rousseau, Cécile Mercier, Arnaud Wilson, Andrew Atlani-Duault, Laëtitia affil: School of Social Work, University of Ottawa, 120 University Private, Room 12002, K1N6N5, Ottawa, ON, Canada sug: subj: Communication Social Media Hemorrhagic Fever, Ebola Attitude to Health Disease Outbreaks Qualitative Studies Human ab: This study aimed to analyze main groups accused on social media of causing or spreading the 2014-2016 Ebola epidemic in West Africa. In this analysis, blame is construed as a vehicle of meaning through which the lay public makes sense of an epidemic, and through which certain classes of people become "figures of blame". Data was collected from Twitter and Facebook using key word extraction, then categorized thematically. Our findings indicate an overall proximate blame tendency: blame was typically cast on "near-by" figures, namely national governments, and less so on "distant" figures, such as generalized figures of otherness ("Africans", global health authorities, global elites). Our results also suggest an evolution of online blame. In the early stage of the epidemic, blame directed at the affected populations was more prominent. However, during the peak of the outbreak, the increasingly perceived threat of inter-continental spread was accompanied by a progressively proximal blame tendency, directed at figures with whom the social media users had pre-existing biopolitical frustrations. Our study proposes that pro-active and on-going analysis of blame circulating in social media can usefully help to guide communications strategies, making them more responsive to public perceptions. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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