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  1. International Association of Women Judges (IAWJ) Taal Engels This Toolkit, by the International Association of Women Judges (IAWJ), is intended to raise awareness about sextortion and provide the "tools" – guidance, information, a ...

    This Toolkit, by the International Association of Women Judges (IAWJ), is intended to raise awareness about sextortion and provide the "tools" – guidance, information, and resources – with which to address a pervasive, but often hidden, form of corruption that degrades its victims and undermines social institutions around the world. The report states:'Sextortion is a form of corruption in which the quid pro quo is sex rather than money. Therefore it is important to assess whether any of your country’s anti-corruption laws can be construed to cover sextortion. These laws may have different names, including: extortion; bribery; criminal coercion; abuse of office; official oppression; and corruption. Whatever the name of the anti-corruption statute, focus on whether its language is broad enough to encompass sexual favors.'

    Publicaties

    • Werkdocumenten/handleidingen
    • International
    • International Association of Women Judges (IAWJ)
    • Sextortion
    • Sextortion
    • Sexual exploitation
    • Engels
  2. 57 reads Language English Online paedophile activity in social media has become a major concern in society as Internet access is easily available to a broader younger population. One common form of online child exploitation is child grooming, where adults ...

    Online paedophile activity in social media has become a major concern in society as Internet access is easily available to a broader younger population. One common form of online child exploitation is child grooming, where adults and minors exchange sexual text and media via social media platforms. Such behaviour involves a number of stages performed by a predator (adult) with the final goal of approaching a victim (minor) in person.This paper presents a study of such online grooming stages from a machine learning perspective. It aims to characterise such stages by a series of features covering sentiment polarity, content, and psycho-linguistic and discourse patterns. Our experiments with online chatroom conversations show good results in automatically classifying chatlines into various grooming stages. Such a deeper understanding and tracking of predatory behaviour is vital for building robust systems for detecting grooming conversations and potential predators on social media.

    Publicaties

    • Rapporten
    • International
    • Grooming
    • Engels