Spambot Detection
Spambot Detection is a computational method within the field of bot detection that specifically identifies automated accounts designed to disseminate unsolicited or malicious content on digital platforms by analyzing behavioral, textual, and network-level patterns distinct from those of legitimate users.
81
Publications
5.9K
Citations
202
Authors
106
Institutions
Publications per year
2017–2026
53
Parents
81
The Paradigm-Shift of Social Spambots
Stefano Cresci, Roberto Di Pietro, Marinella Petrocchi et al. · 2017 · 362 citations · Full text
DeBot: Twitter Bot Detection via Warped Correlation
Nikan Chavoshi, Hossein Hamooni, Abdullah Mueen · 2016 · 258 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
1–5 of 81
202
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h-index
8
h-index
7
h-index
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106
Institute of Informatics and Telematics
Pisa, Italy
9 h-index
24 publications
2.1K citations
Nokia (France)
Paris, France
3 h-index
3 publications
756 citations

University of Bologna
Bologna, Italy
3 h-index
3 publications
195 citations
William & Mary
Williamsburg, United States
3 h-index
7 publications
1.1K citations

IMT School for Advanced Studies Lucca
Lucca, Italy
3 h-index
5 publications
155 citations

Sapienza University of Rome
Rome, Italy
3 h-index
4 publications
116 citations
National Research Council
Rome, Italy
3 h-index
5 publications
1.3K citations
Scuola Normale Superiore
Pisa, Italy
3 h-index
3 publications
195 citations
1–8 of 106
Repository · 7 publications · 366 citations
7
h-index
2 publications · 975 citations
2
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TDSC · 2 publications · 800 citations
2
h-index
Conference · 1 publications · 21 citations
1
h-index
1 publications · 33 citations
1
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