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

Authors

66

  1. SF
    Shangbin Feng

    Xi'an Jiaotong University, China

    6 publications · 488 citations

    6

    h-index

  2. ML
    Minnan Luo

    Xi'an Jiaotong University, China

    6 publications · 488 citations

    6

    h-index

  3. HW
    Herun Wan

    Xi'an Jiaotong University, China

    4 publications · 374 citations

    4

    h-index

  4. NW
    Ningnan Wang

    Xi'an Jiaotong University, China

    3 publications · 327 citations

    3

    h-index

  5. ZT
    Zhaoxuan Tan

    Xi'an Jiaotong University, China

    3 publications · 161 citations

    3

    h-index

1–5 of 66

Venues

  1. arXiv (Cornell University)

    Repository · 3 publications · 75 citations

    3

    h-index

  2. Computers & Security

    1 publications · 917 citations

    1

    h-index

  3. JUCS - Journal of Universal Computer Science

    1 publications · 10 citations

    1

    h-index

  4. Biblos-e Archivo (Universidad Autónoma de Madrid)

    Repository · 1 publications · 43 citations

    1

    h-index

  5. Scientific Reports

    1 publications · 74 citations

    1

    h-index

1–5