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Research questionHow can ragebait be reliably detected at scale in Japanese-language social media?Ragebait is intentionally provocative content designed to trigger anger and increase engagement. Its prevalence and spread are difficult to study systematically when reliable large-scale detection is limited.
Machine Learning
Natural Language Processing
Latest papersRecent research connected to this question, newest first.From Detection to Characterization: A Large-Scale Study of Ragebait on Japanese XThe study uses an LLM-assisted labeled dataset, Japanese language models, and an ensemble classifier applied to large-scale Japanese-language posts on X. It examines ragebait prevalence, topical concentration, spread, and negative reactions; the evidence is specific to Japanese online discourse and does not establish generalization across languages or platforms.research paper · Sep 2, 2026
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