COVID-19 on Facebook Ads: Competing Agendas around a Public Health Crisis
Open accessAbstract
In the age of social media, disasters and epidemics usher not only devastation and affliction in the physical world, but also prompt a deluge of information, opinions, prognoses and advice to billions of internet users. The coronavirus epidemic of 2019-2020, or COVID-19, is no exception, with the World Health Organization warning of a possible 'infodemic' of fake news. In this study, we examine the alternative narratives around the coronavirus outbreak through advertisements promoted on Facebook, the largest social media platform in the US. Using the new Facebook Ads Library, we discover advertisers from public health and non-profit sectors, alongside those from news media, politics, and business, incorporating coronavirus into their messaging and agenda. We find the virus used in political attacks, donation solicitations, business promotion, stock market advice, and animal rights campaigning. Among these, we find several instances of possible misinformation, ranging from bioweapons conspiracy theories to unverifiable claims by politicians, to the sale of face masks which may not necessarily protect the wearer. As we make the dataset available to the community, we hope the advertising domain will become an important part of quality control for public health communication and public discourse in general.
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Cites
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Microtargeted ads reduced the likelihood of persuading Democrat respondents to vote for Democrat candidates.
“microtargeted ads reduced the likelihood of persuading Democrat respondents to vote for Democrat candidates (Liberini et al. 2023;Mejova and Kalimeri 2020).”
From Pink slime journalism on Facebook: advertisement trends and political influence (2019–2024) (2026) · cites this paper as Mejova and Kalimeri 2020
Cites
Engagement with Social Media and Social Media Advertising: The Differentiating Role of Platform Type
Voorveld, H. A. M., van Noort, G., Muntinga, D. G., & Bronner, F. (2018) · Journal of Advertising · doi:10.1080/00913367.2017.1405754 · Cited by 819 · cited 1× · see citing works
“Among the most popular social media platforms, advertising on Facebook has been shown to evoke engagement and social sharing [46].”
BackgroundLatulippe, K., Hamel, C., & Giroux, D. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.6731 · Cited by 458 · see citing works
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Pink slime journalism on Facebook: advertisement trends and political influence (2019–2024)
Lepird, C. S., Ng, L. H. X., & Carley, K. M. (2026) · Computational and Mathematical Organization Theory · doi:10.1007/s10588-026-09419-7
- Authors
- Mejova, Y., & Kalimeri, K.
- Affiliations
- Institute for Scientific Interchange (IT)
- Venue
- Proceedings of the 3rd ACM SIGCAS Conference on Computing and Sustainable Societies
- Publisher
- ACM
- Published
- 2020-06-15
- Pages
- 22-31
- OpenAlex
- W3039072316
- Cited by
- 95
- References
- 2
- Citations by year
- 2026: 4 · 2025: 4 · 2024: 5 · 2023: 15 · 2022: 17 · 2021: 33 · 2020: 17
- FWCI
- 42.53
- Type
- conference paper
- Language
- en
- Open access
- green
- arxiv.org
- Locations
- ACM SIGCAS Conference on Computing and Sustainable Societies (COMPASS) (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Topics
- Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
- Social Sciences › Communication › Communication and COVID-19 Impact
- Social Sciences › Communication › Public Relations and Crisis Communication
- Keywords
- COVID-19 pandemic, Facebook advertising, infodemic, misinformation, fake news, political attacks, conspiracy theories, public health communication, agenda setting
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.
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