Social Bot Detection is a methodological framework within computational social science that identifies automated or semi-automated social media accounts by analyzing behavioral, linguistic, and network patterns distinct from those of human users.
225
Publications
15.9K
Citations
543
Authors
277
Institutions
Publications per year
2017–2026
196
Variants
Social Bot Identification
Publications
225
Communications of the ACM · 2016 · 1.6K citations · Full text
The DARPA Twitter Bot Challenge
V. S. Subrahmanian, Amos Azaria, Skylar Durst et al. · Computer · 2016 · 464 citations · Full text
Public Affairs, Political Communication, Political Science +17
1–5 of 225
Authors
543
- EF
10
h-index
- FM
10
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- SC
9
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- SF
7
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- MT
7
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1–5 of 543
Institutions
277
University of Southern California
Los Angeles, United States
11 h-index
21 publications
6.9K citations
Carnegie Mellon University
Pittsburgh, United States
10 h-index
15 publications
1.3K citations
Institute of Informatics and Telematics
Pisa, Italy
7 h-index
16 publications
1.7K citations
University of Pisa
Pisa, Italy
7 h-index
9 publications
1.1K citations
Indiana University
Bloomington, United States
6 h-index
18 publications
7.1K citations
Indiana University Bloomington
Bloomington, United States
6 h-index
18 publications
8.6K citations
George Mason University
Fairfax, United States
6 h-index
16 publications
1K citations
Arizona State University
Tempe, United States
6 h-index
17 publications
1.4K citations
1–8 of 277
Venues
- arXiv (Cornell University)
Repository · 11 publications · 458 citations
11
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- IEEE Access
8 publications · 614 citations
9
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- Social Network Analysis and Mining
6 publications · 293 citations
7
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- Proceedings of the International AAAI Conference on Web and Social Media
6 publications · 1.2K citations
6
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- IEEE Transactions on Dependable and Secure Computing
TDSC · 4 publications · 294 citations
5
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1–5