Bot Detection Benchmarking
Bot Detection Benchmarking is a standardized evaluation framework used in computational social science and cybersecurity to systematically assess and compare the performance of bot detection methods across diverse datasets, metrics, and experimental conditions.
19
Publications
1.8K
Citations
66
Authors
20
Institutions
Publications per year
2017–2026
17
Parents
19
An empirical comparison of botnet detection methods
Sebastián García, Martin Grill, Jan Stiborek et al. · Computers & Security · 2014 · 917 citations · Full text
TwiBot-20: A Comprehensive Twitter Bot Detection Benchmark
Shangbin Feng, Herun Wan, Ningnan Wang et al. · 2021 · 179 citations · Full text
Shangbin Feng, Herun Wan, Ningnan Wang et al. · 2021 · 131 citations
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20

Xi'an Jiaotong University
Xi'an, China
3 h-index
12 publications
1.7K citations

Universidad Autónoma de Madrid
Madrid, Spain
2 h-index
9 publications
371 citations
William & Mary
Williamsburg, United States
1 h-index
3 publications
54 citations
George Mason University
Fairfax, United States
1 h-index
2 publications
36 citations
R.V. College of Engineering
Bengaluru, India
1 h-index
1 publications
51 citations

Czech Technical University in Prague
Prague, Czechia
1 h-index
3 publications
2.8K citations

Bangladesh University of Engineering and Technology
Dhaka, Bangladesh
1 h-index
2 publications
148 citations

Cochin University of Science and Technology
Ernakulam, India
1 h-index
1 publications
51 citations
1–8 of 20
Repository · 3 publications · 75 citations
3
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1 publications · 917 citations
1
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1 publications · 10 citations
1
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Repository · 1 publications · 43 citations
1
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1 publications · 74 citations
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