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The pandemic of social media panic travels faster than the COVID-19 outbreak
Open accessAbstract
We need to rapidly detect and respond to public rumours, perceptions, attitudes and behaviours around COVID-19 and control measures. The creation of an interactive platform and dashboard to provide real-time alerts of rumours and concerns about coronavirus spreading globally would enable public health officials and relevant stakeholders to respond rapidly with a proactive and engaging narrative that can mitigate misinformation.
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“Key challenges persist, including the rise of potentially harmful misinformation 98,99 and digital inequalities 100 (discussed below).”
From Digital technologies in the public-health response to COVID-19 (2020) · cites this paper as [99]
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“Our results highlight the unintended and negative impacts of mass quarantine, including reinforcing stigma against social minorities,31 aggravating misinformation31,46 and undermining public trust in governments.29,31”
From Social consequences of mass quarantine during epidemics: a systematic review with implications for the COVID-19 response (2020) · cites this paper as [46]
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Metadata
- Authors
- Depoux, A., Martin, S., Karafillakis, E., Preet, R., Wilder-Smith, A., & Larson, H.
- Affiliations
- London School of Hygiene & Tropical Medicine (GB)
- Centre Virchow-Villerme, Paris, France
- Corresponding author
- Depoux, Anneliese
- Venue
- Journal of Travel Medicine
- Publisher
- Oxford University Press (OUP)
- Published
- 2020-03-03
- Volume
- 27
- Issue
- 3
- ISSN
- 1195-1982 (ISSN-L)
- 1708-8305
- PMC
- PMC7107516
- OpenAlex
- W3010571899
- Cited by
- 1,068
- References
- 8
- Citations by year
- 2026: 19 · 2025: 38 · 2024: 62 · 2023: 119 · 2022: 211 · 2021: 368 · 2020: 250
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model (vor)
- Locations
- Journal of Travel Medicine (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- LSHTM Research Online (London School of Hygiene and Tropical Medicine) (acceptedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
- Social Sciences › Communication › Communication and COVID-19 Impact
- Health Sciences › Medicine › Epidemiology › Data-Driven Disease Surveillance
- Keywords
- COVID-19 pandemic, social media, misinformation, rumors, public health communication, real-time alerts, interactive dashboard, pandemic response, travel behavior, public perception
- MeSH terms
- Betacoronavirus, COVID-19, SARS-CoV-2, Communication, Fear, Humans, Pneumonia, Viral, Coronavirus Infections, Information Dissemination, Pandemics, Social Media, Racism
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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