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BotHawk: An Approach for Bots Detection in Open Source Software Projects

BotHawk: An Approach for Bots Detection in Open Source Software Projects

25 July 2023
Fenglin Bi
Zhi-liang Zhu
Wei Wang
Xiaoya Xia
Hassan Ali Khan
Pengxian Pu
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Papers citing "BotHawk: An Approach for Bots Detection in Open Source Software Projects"

2 / 2 papers shown
Title
Simplistic Collection and Labeling Practices Limit the Utility of
  Benchmark Datasets for Twitter Bot Detection
Simplistic Collection and Labeling Practices Limit the Utility of Benchmark Datasets for Twitter Bot Detection
Chris Hays
Zachary Schutzman
Manish Raghavan
Erin Walk
Philipp Zimmer
48
32
0
17 Jan 2023
A ground-truth dataset and classification model for detecting bots in
  GitHub issue and PR comments
A ground-truth dataset and classification model for detecting bots in GitHub issue and PR comments
M. Golzadeh
Alexandre Decan
Damien Legay
T. Mens
47
74
0
07 Oct 2020
1