Malicious Actors on Twitter: A Guide for Public Health Researchers
Open accessAbstract
Social bots and other malicious actors have a significant presence on Twitter. It is increasingly clear that some of their activities can have a negative impact on public health. This guide provides an overview of the types of malicious actors currently active on Twitter by highlighting the characteristic behaviors and strategies employed. It covers both automated accounts (including traditional spambots, social spambots, content polluters, and fake followers) and human users (primarily trolls). It also addresses the unique threat of state-sponsored trolls. We utilize examples from our own research on vaccination to illustrate. The diversity of malicious actors and their multifarious goals adds complexity to research efforts that use Twitter. Bots are now part of the social media landscape, and although it may not be possible to stop their influence, it is vital that public health researchers and practitioners recognize the potential harms and develop strategies to address bot- and troll-driven messages.
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Social bots have been found to distort online conversations and spread misinformation in various contexts, from elections to public health crises.
“They were found to distort online conversations and spread misinformation in various contexts, from elections to public health crises (Shao et al., 2018;Ferrara et al., 2020;Jamison et al., 2019;Marlow et al., 2020).”
From Anatomy of an AI-powered malicious social botnet (2024) · cites this paper as Jamison et al., 2019
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References 11 · Cited by 85
- Authors
- Jamison, A. M., Broniatowski, D. A., & Quinn, S. C.
- Affiliations
- George Washington University (US)
- Venue
- American Journal of Public Health
- Publisher
- American Public Health Association
- Published
- 2019-05
- Volume
- 109
- Issue
- 5
- Pages
- 688-692
- ISSN
- 0090-0036 (ISSN-L)
- 1541-0048
- PMC
- PMC6459664
- OpenAlex
- W2923771419
- Cited by
- 85
- References
- 11
- Citations by year
- 2026: 5 · 2025: 9 · 2024: 4 · 2023: 8 · 2022: 12 · 2021: 17 · 2020: 23 · 2019: 7
- FWCI
- 29.68
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- American Journal of Public Health (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- George Washington University
- Johns Hopkins University
- National Institutes of Health
- Defense Advanced Research Projects Agency
- National Institute of General Medical Sciences (R01GM114771)
- Topics
- Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
- Physical Sciences › Computer Science › Information Systems › Spam and Phishing Detection
- Social Sciences › Health › Social Media in Health Education
- Keywords
- social bots, malicious actors, Twitter, trolls, fake followers, vaccination, misinformation, social media harms, public health research
- MeSH terms
- Attitude to Health, Humans, Public Opinion, United States, Vaccination, Information Dissemination, Social Media
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