Content-Based Bot Detection is a bot detection approach that identifies automated accounts by analyzing the linguistic, structural, and semantic characteristics of their generated content, distinguishing it from behavior- or network-based methods through its reliance on textual and multimedia evidence intrinsic to the posts themselves.
14
Publications
2K
Citations
35
Authors
23
Institutions
Publications per year
2017–2026
11
Parents
Publications
14
Communications of the ACM · 2016 · 1.6K citations · Full text
Behavior enhanced deep bot detection in social media
Chiyu Cai, Linjing Li, Daniel Zengi · 2017 · 99 citations
1–5 of 14
Authors
35
- NA
3
h-index
- MK
3
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- SM
2
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- LL
2
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- CC
2
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1–5 of 35
Institutions
23
Taibah University
Medina, Saudi Arabia
3 h-index
3 publications
51 citations
Taif University
Ta'if, Saudi Arabia
3 h-index
3 publications
51 citations
University of Colorado Boulder
Boulder, United States
3 h-index
9 publications
153 citations
Indiana University Bloomington
Bloomington, United States
2 h-index
7 publications
6.3K citations
Georgia Institute of Technology
Atlanta, United States
2 h-index
2 publications
33 citations
Chinese Academy of Sciences
Beijing, China
2 h-index
5 publications
357 citations
University of Georgia
Athens, United States
1 h-index
3 publications
51 citations
Phoenix (United States)
Monona, United States
1 h-index
1 publications
16 citations
1–8 of 23
Venues
- arXiv (Cornell University)
Repository · 2 publications · 41 citations
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- Sustainability
1 publications · 18 citations
1
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- Proceedings of the ACM on Human-Computer Interaction
PACMHCI · 1 publications · 10 citations
1
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- IEEE Transactions on Dependable and Secure Computing
TDSC · 1 publications · 16 citations
1
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- Proceedings of the International AAAI Conference on Web and Social Media
1 publications · 96 citations
1
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1–5