New on preventhate.org, 16 October 2025 (Policyinstitute.net)
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Averting and Countering Online Hatred.
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Multimodal content, linguistic diversity, and cultural perception are the main causes of the difficulties in global hate speech moderation. We…
Despite the growing threats to safety and unity posed by online hate speech, Southeast Asian languages, such as Malay, are…
Research on hate speech identification is still primarily focused on English, which hinders advancements for low-resource languages with a wide…
Browse and read from a list of the 180 most popular LinkedIn resources dealing with soft counter-extremism, countering hate speech,…
In addition to distorting public discourse, the proliferation of harmful online information presents serious obstacles to preserving a safe digital…
The research at hand tackles bias in automatic hate speech detection on social media, where linguistic heterogeneity within speaker groups…
The researchers provide SMARTER, a two-stage paradigm for explainable content moderation that uses Large Language Models (LLMs) and is data-efficient.…
The understudied field of hate speech identification in French-language social media, where platform ubiquity and user anonymity have increased the…
The current study presents a comprehensive approach to detecting hate speech in Roman Urdu, a widely used but under-resourced language…
Browse and read from a list of the 160 most popular LinkedIn resources dealing with soft counter-extremism, countering hate speech,…
The current study tackles the challenges of multimodal hate speech identification in internet memes, which frequently combine text and images…