Project: AMiCA: Automatic Monitoring for Cyberspace Applications
01/06/13 – 31/05/14
- Abstract
- n the AMiCA project, we identify possibly threatening situations on social networks by means of text and image analysis. Our goal includes ensuring the online safety of children. There are three critical situations at the centre of our research: 1) cyberbullying, 2) sexually transgressive behavior, and 3) depression and suicidal behavior.
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Automatic classification of participant roles in cyberbullying : can we detect victims, bullies, and bystanders in social media text?
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- Journal Article
- A1
- open access
Current limitations in cyberbullying detection : on evaluation criteria, reproducibility, and data scarcity
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Cyberbullying Detection in Social Media
(2017) -
Classifier optimization for cyberbully detection : finding the needle in the haystack
(2016)