The antisemitism hackathon and datathon 2023 and 2024 are documented here:
This repo contains the code examples for the practical Webinar held by Damir Cavar (and Günther Jikeli and Katharina Soemer).
During the summer of 2020, that is during the Covid-19 pandemic and under lockdown, we managed an international Datathon and Hackathon, focusing on antisemitic tweets and the development of corpora and machine learning algorithms to classify and label hate-speech and antisemitic content.
Here are some articles and resources that document this project the the current outcomes:
- Antisemitism Datathon and Hackathon event challenges students to grow socially and technologically
- Antisemitism on Social Media Datathon and Hackathon
- Annotating Antisemitic Online Content: Towards an Applicable Definition of Antisemitism
- Datathon and Hackathon on Antisemitism Follow-up
- Social Media, Hate Speech, and Free Speech in Our Increasingly Globalized World
- Report by the winning team
The award ceremony video with speeches by Elaine Monaghan and Lee Finestein, comments by Damir Cavar, Guenther Jikeli, and participating students:
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Günther Jikeli, Damir Cavar, Weejeong Jeong, Daniel Miehling, Pauravi Wagh, Denizhan Pak (2022) Toward an AI Definition of Antisemitism? Pages 193-212 in M. Hübscher and S. von Mering (eds.) Antisemitism on Social Media. Routlage, New York.
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Annotating Antisemitic Online Content: Towards an Applicable Definition of Antisemitism (2019) Günther Jikeli, Damir Cavar, Daniel Miehling.