Detecting online sexual predatory behaviours and abusive language on social media
platforms has become a critical area of research due to the growing concerns about online …

This paper provides an overview of eRisk 2017. This was the first year that this lab was
organized at CLEF. The main purpose of eRisk was to explore issues of evaluation …

In the era of big data and artificial intelligence, online risk detection has become a popular
research topic. From detecting online harassment to the sexual predation of youth, the state …

[EN] This overview presents the framework and results for the Author Profiling task at PAN
2013. We describe in detail the corpus and its characteristics, and the evaluation framework …

This paper describes the Traditional Authorship Attribution subtask of the PAN/CLEF 2012
workshop. As a followup to our subtask at PAN/CLEF 2011 (Amsterdam), we established a …

Automatic identification of predatory conversations in chat logs helps the law enforcement
agencies act proactively through early detection of predatory acts in cyberspace. In this …

We collected Instagram data from 150 adolescents (ages 13-21) that included 15,547
private message conversations of which 326 conversations were flagged as sexually risky …

Chat-logs are informative digital footprints available on Social Media Platforms (SMPs). With
the rise of cybercrimes targeting children, chat-logs can be used to discover and flag harmful …

This article provides a case study of deceptive online identity performance by a convicted
child sex offender. Most prior linguistic and psychological research into online sexual abuse …

Cyber grooming is a compelling problem worldwide nowadays and many reports strongly
suggested that it becomes very urgent to tackle this problem to protect the children from …