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New BERT models tackle hate speech in Turkish and Arabic

By PulseAugur Editorial · [2 sources] ·

Researchers have developed advanced BERT-based models for hate speech detection in Turkish and Arabic languages. The study introduces a new dataset covering five topics in Turkish, including refugees, the Israel-Palestine conflict, and LGBTQ+ issues, as well as one topic in Arabic concerning refugees. These models are designed to perform comprehensive analysis, such as classifying hate categories, predicting intensity, identifying targets, and detecting the specific spans of hateful content. AI

IMPACT Enhances AI capabilities for content moderation and combating online hate speech in under-resourced languages.

RANK_REASON Academic paper detailing a new dataset and models for hate speech detection. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New BERT models tackle hate speech in Turkish and Arabic

COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Somaiyeh Dehghan, G\"ok\c{c}e Uludo\u{g}an, Mehmet Umut \c{S}en, Elif Erol, Arzucan \"Ozg\"ur, Berrin Yanikoglu ·

    Hate Speech Detection in Turkish and Arabic Languages: A Comprehensive Study

    arXiv:2607.00143v1 Announce Type: cross Abstract: Online hate speech has been linked to a global rise in violence against minorities, including incidents such as mass shootings, lynchings, and ethnic cleansing. Societies grappling with this issue, particularly when hate speech ta…

  2. arXiv cs.CL TIER_1 English(EN) · Berrin Yanikoglu ·

    Hate Speech Detection in Turkish and Arabic Languages: A Comprehensive Study

    Online hate speech has been linked to a global rise in violence against minorities, including incidents such as mass shootings, lynchings, and ethnic cleansing. Societies grappling with this issue, particularly when hate speech targets specific groups based on religion, race, eth…

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