no code implementations • NAACL (WOAH) 2022 • Abraham Israeli, Oren Tsur
This popularity is mainly attributed to the stricter moderation enforced by mainstream platforms such as Twitter, Facebook, and Reddit. In this work we provide the first large scale analysis of hate-speech on Parler.
no code implementations • EACL (WANLP) 2021 • Abraham Israeli, Yotam Nahum, Shai Fine, Kfir Bar
In this paper we present designated solutions for sentiment classification and sarcasm detection tasks that were introduced as part of a shared task by Abu Farha et al. (2021).
no code implementations • 18 Jul 2023 • Abraham Israeli, Oren Tsur
We make all data used for this study publicly available for further research.
1 code implementation • 27 Jan 2022 • Abraham Israeli, Oren Tsur
To the best of our knowledge, this is among the first works to analyze hate speech in Parler in a quantitative manner and on the user level, and the first annotated dataset to be made available to the community.
1 code implementation • 14 Jan 2022 • Abraham Israeli, Alexander Kremiansky, Oren Tsur
To this end, we develop a hybrid model, combining textual cues, community meta-data, and structural properties.