Grooming Detection

Grooming Detection is a computational method designed to identify and analyze predatory behavioral patterns in online interactions with the intent of exploiting minors, distinguishing itself from general threat detection by focusing specifically on the sequential, manipulative tactics characteristic of online child grooming.

47

Publications

1.6K

Citations

131

Authors

69

Institutions

Publications per year

2017–2026

19

Authors

131

  1. PB
    Patrick Bours

    Norwegian University of Science and Technology, Norway

    3 publications · 74 citations

    3

    h-index

  2. GM
    Georgia M. Winters

    John Jay College of Criminal Justice, United States

    3 publications · 251 citations

    3

    h-index

  3. FE
    Fergyanto E. Gunawan

    Binus University, Indonesia

    3 publications · 59 citations

    3

    h-index

  4. EL
    Elizabeth L. Jeglic

    John Jay College of Criminal Justice, United States

    3 publications · 251 citations

    3

    h-index

  5. SS
    Susumu Shimizu

    Kyushu University, Japan

    2 publications · 83 citations

    2

    h-index

1–5 of 131

Venues

  1. PubMed

    Repository · 3 publications · 106 citations

    3

    h-index

  2. arXiv (Cornell University)

    Repository · 2 publications · 60 citations

    2

    h-index

  3. Deviant Behavior

    2 publications · 219 citations

    2

    h-index

  4. Knowledge-Based Systems

    2 publications · 59 citations

    2

    h-index

  5. Animal Behaviour

    1 publications · 105 citations

    1

    h-index

1–5