Bot-Driven Misinformation Detection is a methodological framework within computational misinformation research that specifically leverages bot-generated behavioral patterns and automated account activity on digital platforms to identify, analyze, and mitigate the spread of false or misleading information.
43
Publications
3.1K
Citations
136
Authors
67
Institutions
Publications per year
2017–2026
35
Parents
Publications
43
2016 · 759 citations · Full text
Public Affairs, Information Systems, Artificial Intelligence +13
Yazan Boshmaf, Ildar Muslukhov, Konstantin Beznosov et al. · 2011 · 442 citations
Charting the Landscape of Online Cryptocurrency Manipulation
Leonardo Nizzoli, Serena Tardelli, Marco Avvenuti et al. · IEEE Access · 2020 · 129 citations · Full text
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Authors
136
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1–5 of 136
Institutions
67
University of Southern California
Los Angeles, United States
4 h-index
4 publications
1.1K citations
Institute of Informatics and Telematics
Pisa, Italy
4 h-index
13 publications
1.1K citations
Scuola Normale Superiore
Pisa, Italy
3 h-index
3 publications
195 citations
University of Washington
Seattle, United States
3 h-index
5 publications
514 citations
Queen Mary University of London
London, United Kingdom
3 h-index
3 publications
186 citations
Indiana University Bloomington
Bloomington, United States
3 h-index
9 publications
3.3K citations
University of Bologna
Bologna, Italy
3 h-index
3 publications
195 citations
University of Oxford
Oxford, United Kingdom
3 h-index
3 publications
274 citations
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Venues
- arXiv (Cornell University)
Repository · 5 publications · 89 citations
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- Journal of Computational Social Science
JCSS · 2 publications · 136 citations
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- Proceedings of the International AAAI Conference on Web and Social Media
2 publications · 107 citations
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- IEEE Access
3 publications · 220 citations
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- Social Media + Society
1 publications · 93 citations
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