ArabDiscrim: A Decade-Long Arabic Facebook Corpus on Racism and Discrimination

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Main Authors: Zaghouani, Wajdi, Ibrahim, Shimaa Amer, Bessghaier, Mabrouka, Bouamor, Houda
Format: Preprint
Published: 2026
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author Zaghouani, Wajdi
Ibrahim, Shimaa Amer
Bessghaier, Mabrouka
Bouamor, Houda
author_facet Zaghouani, Wajdi
Ibrahim, Shimaa Amer
Bessghaier, Mabrouka
Bouamor, Houda
contents We present ArabDiscrim, a decade-long lexical resource and corpus of 293K public Arabic Facebook posts (2014--2024) discussing racism and discrimination. Unlike existing Twitter-centric datasets, ArabDiscrim integrates platform-native engagement signals, including reactions, shares, comments, and page metadata, enabling joint analysis of language and audience response. The resource includes 200 curated terms (100 racism-related and 100 discrimination-related) with morphological regex families (13+ inflections per lemma), and 20 discrimination axes capturing identity-based grounds for unequal treatment. It also provides explicit attribution patterns. Released under a restricted research-use license for ethical compliance with platform terms, ArabDiscrim supports weak supervision, axis-aware sampling, and platform ecology research. By bridging lexical depth and ecological validity, it establishes a foundation for fairness-oriented, platform-aware Arabic NLP.
format Preprint
id arxiv_https___arxiv_org_abs_2605_22081
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle ArabDiscrim: A Decade-Long Arabic Facebook Corpus on Racism and Discrimination
Zaghouani, Wajdi
Ibrahim, Shimaa Amer
Bessghaier, Mabrouka
Bouamor, Houda
Computation and Language
We present ArabDiscrim, a decade-long lexical resource and corpus of 293K public Arabic Facebook posts (2014--2024) discussing racism and discrimination. Unlike existing Twitter-centric datasets, ArabDiscrim integrates platform-native engagement signals, including reactions, shares, comments, and page metadata, enabling joint analysis of language and audience response. The resource includes 200 curated terms (100 racism-related and 100 discrimination-related) with morphological regex families (13+ inflections per lemma), and 20 discrimination axes capturing identity-based grounds for unequal treatment. It also provides explicit attribution patterns. Released under a restricted research-use license for ethical compliance with platform terms, ArabDiscrim supports weak supervision, axis-aware sampling, and platform ecology research. By bridging lexical depth and ecological validity, it establishes a foundation for fairness-oriented, platform-aware Arabic NLP.
title ArabDiscrim: A Decade-Long Arabic Facebook Corpus on Racism and Discrimination
topic Computation and Language
url https://arxiv.org/abs/2605.22081