In this work we propose a novel annotation scheme which factors hate speech into five separate discursive categories. To evaluate our scheme, we construct a corpus of over 2.9M Twitter posts containing hateful expressions directed at Jews, and annotate a sample dataset of 1,050 tweets. We present a statistical analysis of the annotated dataset as well as discuss annotation examples, and conclude by discussing promising directions for future work.
|Original language||American English|
|Title of host publication||ACL 2023 - 7th Workshop on Online Abuse and Harms, WOAH 2023 - Proceedings of the Workshop|
|Editors||Yi-Ling Chung, Aida Mostafazadeh Davani, Debora Nozza, Paul Rottger, Zeerak Talat|
|Publisher||Association for Computational Linguistics (ACL)|
|Number of pages||6|
|State||Published - 2023|
|Event||7th Workshop on Online Abuse and Harms, WOAH 2023, co-located with ACL 2023 - Toronto, Canada|
Duration: 13 Jul 2023 → …
|Name||Proceedings of the Annual Meeting of the Association for Computational Linguistics|
|Conference||7th Workshop on Online Abuse and Harms, WOAH 2023, co-located with ACL 2023|
|Period||13/07/23 → …|
Bibliographical notePublisher Copyright:
© 2023 Association for Computational Linguistics.