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Ebola, Twitter, and misinformation: a dangerous combination?
Open accessAbstract
Gulland A. Cuts in aid are linked to Ebola crisis, say MPs.
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Citations
Cited by
COVID-19–Related Infodemic and Its Impact on Public Health: A Global Social Media Analysis
Islam, M. S., Sarkar, T., Khan, S. H., Mostofa Kamal, A.-H., Hasan, S. M. M., Kabir, A., Yeasmin, D., Islam, M. A., Amin Chowdhury, K. I., Anwar, K. S., et al. (2020) · The American Journal of Tropical Medicine and Hygiene · doi:10.4269/ajtmh.20-0812 · Cited by 1,178
“Last, there are the well-documented issues with misinformation with Ebola, including false treatments, health workers were deliberately spreading the Ebola virus, and Ebola epidemic was a hoax.(49,50) Such conspiracy theories and misinformation may have impeded the ability of healthcare workers and emergency responder…”
BackgroundAllington, D., Duffy, B., Wessely, S., Dhavan, N., & Rubin, J. (2021) · Psychological Medicine · doi:10.1017/s003329172000224x · Cited by 904
Social Media, Echo Chambers, and Political Polarization
Barberá, P. (2020) · Social Media and Democracy · doi:10.1017/9781108890960.004 · Cited by 373
COVID-19-related misinformation on social media: a systematic review
Gabarron, E., Oyeyemi, S. O., & Wynn, R. (2021) · Bulletin of the World Health Organization · doi:10.2471/blt.20.276782 · Cited by 345
Self-citationMisinformation, Disinformation, and Online Propaganda
Guess, A. M., & Lyons, B. A. (2020) · Social Media and Democracy · doi:10.1017/9781108890960.003 · Cited by 284
Kisa, S., & Kisa, A. (2024) · Journal of Medical Internet Research · doi:10.2196/56931 · Cited by 132
The Role of the Crowd in Countering Misinformation: A Case Study of the COVID-19 Infodemic
Micallef, N., He, B., Kumar, S., Ahamad, M., & Memon, N. (2020) · 2020 IEEE International Conference on Big Data (Big Data) · doi:10.1109/bigdata50022.2020.9377956 · Cited by 116
Giachanou, A., Ríssola, E. A., Ghanem, B., Crestani, F., & Rosso, P. (2020) · Lecture Notes in Computer Science · doi:10.1007/978-3-030-51310-8_17 · Cited by 58
Dataset of Fake News Detection and Fact Verification: A Survey
Murayama, T. (2021) · arXiv · doi:10.48550/arxiv.2111.03299 · Cited by 40
Mututwa, W., & Matsilele, T. (2020) · Journal of Science Communication · doi:10.22323/2.19050209 · Cited by 38
When Medical News Comes from Press Releases—A Case Study of Pancreatic Cancer and Processed Meat
Taylor, J. W., Long, M., Ashley, E., Denning, A., Gout, B., Hansen, K., Huws, T., Jennings, L., Quinn, S., Sarkies, P., et al. (2015) · PLOS ONE · doi:10.1371/journal.pone.0127848 · Cited by 28
Identification of affective valence of Twitter generated sentiments during the COVID-19 outbreak
Mittal, R., Mittal, A., & Aggarwal, I. (2021) · Social Network Analysis and Mining · doi:10.1007/s13278-021-00828-x · Cited by 23
Choudhury, A., Asan, O., & Alelyani, T. (2022) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2021.3087083 · Cited by 21
Strategies and bottlenecks to tackle infodemic in public health: a scoping review
Gentili, A., Villani, L., Osti, T., Corona, V. F., Gris, A. V., Zaino, A., Bonacquisti, M., De Maio, L., Solimene, V., Gualano, M. R., et al. (2024) · Frontiers in Public Health · doi:10.3389/fpubh.2024.1438981 · Cited by 11
Metadata
- Authors
- Oyeyemi, S. O., Gabarron, E., & Wynn, R.
- Venue
- BMJ
- Publisher
- BMJ
- Published
- 2014-10-14
- Volume
- 349
- Issue
- oct14 5
- Pages
- g6178-g6178
- ISSN
- 1756-1833 (ISSN-L)
- OpenAlex
- W2058049360
- Cited by
- 348
- References
- 0
- FWCI
- 59.45
- Type
- journal article
- Language
- en
- Open access
- bronze
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
