ArabDiscrim: A Decade-Long Arabic Facebook Corpus on Racism and Discrimination
Summary
ArabDiscrim is a decade-long lexical resource and corpus of 293K Arabic Facebook posts about racism and discrimination, with engagement signals, morphological regex families, and discrimination axes, supporting fairness-oriented Arabic NLP research.
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# ArabDiscrim: A Decade-Long Arabic Facebook Corpus on Racism and Discrimination Source: [https://arxiv.org/abs/2605.22081](https://arxiv.org/abs/2605.22081) [View PDF](https://arxiv.org/pdf/2605.22081) > Abstract: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\. ## Submission history From: Wajdi Zaghouani \[[view email](https://arxiv.org/show-email/00ba6374/2605.22081)\] **\[v1\]**Thu, 21 May 2026 07:21:33 UTC \(619 KB\)
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