Fra grooming til seksuell utpressing: Behov for mer effektivt vern mot nettovergrep

Sunde, Inger Marie

doi:10.18261/issn.0809-9537-2020-02-01

Cited by 3 publications

(1 citation statement)

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“…In addition to grooming, "sexualized speech" encompasses lascivious speech, communication about and exchange of sexualized images, etc. Whether or not sexualized speech meets the legal criteria of grooming -which are often complex and hard to fulfill (Sunde, 2020) -it is a risk indicator of CSEA.…”

Section: The Value Of Prevbot's Computations and Predictionsmentioning

confidence: 99%

Conceptualizing an AI-based Police Robot for Preventing Online Child Sexual Exploitation and Abuse:

Sunde¹,

Sunde²

2022

NJSP

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Child sexual exploitation and abuse (CSEA) needs more attention from a crime prevention perspective. This is the first in a two-part series about the PrevBOT concept, which is an automated tool supporting the police in preventing CSEA in online chat rooms. Part I presents the concept, its theoretical framework, and the technology. Equipped with technology for Authorship Analysis, the tool can identify problematic digital spaces unsafe for children. Given the advancements in machine learning algorithms, PrevBOT may provide predictions concerning age and gender behind online aliases engaged in sexualized speech with children and assist the police in identifying former CSEA offenders who resume the criminal activity online. Part II provides a legal analysis of issues relating to data protection, privacy, and fair trial.

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Section: The Value Of Prevbot's Computations and Predictionsmentioning

confidence: 99%