ArticleCulture, medicine and psychiatry2020
Ebola and Localized Blame on Social Media: Analysis of Twitter and Facebook Conversations During the 2014-2015 Ebola Epidemic.
Article in Culture, medicine and psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.
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Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it.
- When Infodemic Meets Epidemic: Systematic Literature Review.JMIR public health and surveillance · 2025Pooled it
- Dynamical analysis of the SVEIR-M epidemic model with age structure under media coverage.Infectious Disease Modelling · 2026Article
- Healthcare workers' beliefs, practices and experiences regarding the COVID-19 pandemic and resulting governance from preparedness and response plans in Faranah, Guinea.PLOS global public health · 2026Article
- Mapping the Mpox discourse: A network and sentiment analysis.Exploratory research in clinical and social pharmacy · 2024Article
- The Pulse of Long COVID on Twitter: A Social Network Analysis.Archives of Iranian medicine · 2024Article
- A Survey on COVID-19 Data Analysis Using AI, IoT, and Social Media.Sensors (Basel, Switzerland) · 2023Review
- Effects of Chinese provincial CDCs WeChat official account article features on user engagement during the COVID-19 pandemic.Journal of global health · 2023Article
- COVID-19 pandemic: Ghana and the geographies of blame.GeoJournal · 2023Article
- The deployment of social media by political authorities and health experts to enhance public information during the COVID-19 pandemic.SSM - population health · 2022Article
- The COVID-19 pandemic and war.Scandinavian journal of public health · 2022Article
- Leveraging Dynamic Heterogeneous Networks to Study Transnational Issue Publics. The Case of the European COVID-19 Discourse on Twitter.Frontiers in sociology · 2022Article
- Article
- Perceptions of blame on social media during the coronavirus pandemic.Computers in human behavior · 2021Article
- Fighting a war without weapons? Lessons from the COVID-19 outbreak.World medical & health policy · 2021Article
- How do social media and individual behaviors affect epidemic transmission and control?The Science of the total environment · 2021Article
- Evaluating the motivation of Red Cross Health volunteers in the COVID-19 pandemic: a mixed-methods study protocol.BMJ open · 2021Article
- Public Perspectives on Anti-Diabetic Drugs: Exploratory Analysis of Twitter Posts.JMIR diabetes · 2021Article
- Pandémie et communautés minoritaires marginalisées : vers une approche inclusive en santé publique?Canadian journal of public health = Revue canadienne de sante publique · 2020Article
- Communicative Blame in Online Communication of the COVID-19 Pandemic: Computational Approach of Stigmatizing Cues and Negative Sentiment Gauged With Automated Analytic Techniques.Journal of medical Internet research · 2020Article
- Public Engagement and Government Responsiveness in the Communications About COVID-19 During the Early Epidemic Stage in China: Infodemiology Study on Social Media Data.Journal of medical Internet research · 2020Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.