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Study characterizes ragebait on Japanese X, finding it prevalent in contentious topics

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a new framework for detecting and characterizing ragebait on the Japanese X platform, utilizing a large language model to create a labeled dataset. Their analysis revealed that ragebait is more common in discussions related to politics, discrimination, public health, and interpersonal conflicts. The study also found that ragebait posts spread more rapidly and elicit stronger negative emotional reactions compared to non-ragebait content. AI

IMPACT Provides insights into the nature and spread of provocative online content, potentially informing content moderation strategies.

RANK_REASON Academic paper detailing a study on online content. [lever_c_demoted from research: ic=1 ai=0.4]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Study characterizes ragebait on Japanese X, finding it prevalent in contentious topics

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Academic paper detailing a study on online content. [lever_c_demoted from research: ic=1 ai=0.4]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Zhiyang Qi, Kazuhiro Ito, Jinghui Chen, Hibiki Nakamura, Zhangxuan Chen, Erina Murata, Masaki Chujyo, Fujio Toriumi ·

    From Detection to Characterization: A Large-Scale Study of Ragebait on Japanese X

    arXiv:2609.02262v1 Announce Type: cross Abstract: Ragebait refers to online content intentionally designed to provoke anger or outrage and thereby increase attention and engagement. However, reliable large-scale detection and systematic analysis of ragebait remain limited, hinder…

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