Bot Classification
Bot Classification is a methodological framework within computational social science that distinguishes automated agent behaviors from human-generated activities in digital environments by systematically analyzing patterns of interaction, temporal regularities, and content features specific to non-human actors.
114
Publications
7.5K
Citations
332
Authors
151
Institutions
Publications per year
2017–2026
92
Parents
114
Steven Gianvecchio, Haining Wang, Sushil Jajodia · 2010 · 505 citations
Online Human-Bot Interactions: Detection, Estimation, and Characterization
Onur Varol, Emilio Ferrara, Clayton A. Davis et al. · arXiv (Cornell University) · 2017 · 238 citations · Full text
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151
Carnegie Mellon University
Pittsburgh, United States
8 h-index
13 publications
774 citations
George Mason University
Fairfax, United States
4 h-index
9 publications
1.7K citations
William & Mary
Williamsburg, United States
4 h-index
10 publications
2.6K citations

University of Genoa
Genoa, Italy
3 h-index
8 publications
252 citations
University of Southern California
Los Angeles, United States
3 h-index
3 publications
1.2K citations

National Taiwan University
Taipei, Taiwan
3 h-index
4 publications
328 citations
Williams (United States)
Tulsa, United States
3 h-index
6 publications
2.3K citations

University of Opole
Opole, Poland
3 h-index
3 publications
98 citations
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Repository · 6 publications · 417 citations
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PACMHCI · 4 publications · 316 citations
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3 publications · 87 citations
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2 publications · 938 citations
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2 publications · 187 citations
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