no code implementations • 14 Dec 2021 • Tom De Smedt
We created a fine-grained AI system for the detection of anti-Semitism.
no code implementations • 13 Nov 2021 • Tom De Smedt, Pierre Voué, Sylvia Jaki, Emily Duffy, Lydia El-Khouri
This report provides an engagement analysis of counternarratives against online toxicity.
no code implementations • 2 Apr 2020 • Pierre Voué, Tom De Smedt, Guy De Pauw
We have collected over 30M messages from the publicly available /pol/ message boards on 4chan and 8chan, and compiled them into a model of toxic language use.
no code implementations • 16 Oct 2019 • Sylvia Jaki, Tom De Smedt
Discussion about the social network Twitter often concerns its role in political discourse, involving the question of when an expression of opinion becomes offensive, immoral, and/or illegal, and how to deal with it.
no code implementations • 11 Sep 2018 • Tom De Smedt, Sylvia Jaki, Eduan Kotzé, Leïla Saoud, Maja Gwóźdź, Guy De Pauw, Walter Daelemans
In this report, we present a study of eight corpora of online hate speech, by demonstrating the NLP techniques that we used to collect and analyze the jihadist, extremist, racist, and sexist content.
no code implementations • 13 Mar 2018 • Tom De Smedt, Guy De Pauw, Pieter Van Ostaeyen
We have developed a system that automatically detects online jihadist hate speech with over 80% accuracy, by using techniques from Natural Language Processing and Machine Learning.
no code implementations • 10 Aug 2014 • Tom De Smedt
Modeling Creativity (doctoral dissertation, 2013) explores how creativity can be represented using computational approaches.
no code implementations • LREC 2012 • Tom De Smedt, Walter Daelemans
The lexicon is a dictionary of 1, 100 adjectives that occur frequently in online product reviews, manually annotated with polarity strength, subjectivity and intensity, for each word sense.