From the archive: originally published 2020-11-16. Roles, openings, and technical advice reflect that time.

We provide a cross-domain evaluation framework for cyberbullying detection research to overcome the limitations of data scarcity in this field. We also show that crowdsourcing data in a simulated lab setting is a valid way of generating data. We have published new research as an extension from the AMiCA project on cybersafety.

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This research was headed by Chris Emmery (CSAI, Tilburg University) and CLiPS (Antwerp University).

AMiCA project logo
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The article full text can be read for free in open-access here (published paper).

Here's a video showing what the AMiCA project is all about:

Watch the original presentation

Topics: cyberbullying · publication · paper · amica · research · machine learning · bullying detection

Written by Gilles Jacobs.