Behavioral Bot Detection
Behavioral Bot Detection is a method within bot detection that identifies automated agents by analyzing patterns of interaction and temporal dynamics characteristic of non-human behavior, distinguishing itself from content- or signature-based approaches through its focus on operational conduct.
79
Publications
4K
Citations
245
Authors
114
Institutions
Publications per year
2017–2026
43
Parents
79
Deep neural networks for bot detection
Sneha Kudugunta, Emilio Ferrara · Information Sciences · 2018 · 500 citations · Full text
A decade of social bot detection
Communications of the ACM · 2020 · 242 citations · Full text
Social Sciences, Political Science, Artificial Intelligence +14
Of Bots and Humans (on Twitter)
Zafar Gilani, Reza Farahbakhsh, Gareth Tyson et al. · 2017 · 124 citations
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William & Mary
Williamsburg, United States
4 h-index
12 publications
609 citations

Centre National de la Recherche Scientifique
Paris, France
3 h-index
3 publications
220 citations

University of Nottingham
Nottingham, United Kingdom
3 h-index
6 publications
194 citations
Institute of Information Science, Academia Sinica
Taipei, Taiwan
3 h-index
3 publications
209 citations
George Mason University
Fairfax, United States
3 h-index
4 publications
104 citations
University at Buffalo, State University of New York
Buffalo, United States
2 h-index
7 publications
347 citations
Williams (United States)
Tulsa, United States
2 h-index
8 publications
544 citations
University of Delaware
Newark, United States
2 h-index
3 publications
126 citations
1–8 of 114
Repository · 2 publications · 34 citations
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1 publications · 57 citations
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TWEB · 1 publications · 62 citations
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1 publications · 11 citations
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1 publications · 14 citations
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