Introduces Ex-ToxiCN-MM dataset and RIKE framework (with AKE and RIR modules) that outperforms baselines on attributing harm in ambiguous Chinese memes using C-HarmKB.
Beneath the surface: Unveiling harmful memes with multimodal reasoning distilled from large language models,
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A PRISMA-based survey of 158 computational works on toxic meme detection introduces a new toxicity taxonomy and a framework linking target, intent, and conveyance tactics while noting trends in LLMs and cross-modal methods.
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Distinguishing Right from Wrong in Debates: Attribution Analysis of Chinese Harmful Memes
Introduces Ex-ToxiCN-MM dataset and RIKE framework (with AKE and RIR modules) that outperforms baselines on attributing harm in ambiguous Chinese memes using C-HarmKB.
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Toxic Memes: A Survey of Computational Perspectives on the Detection and Explanation of Meme Toxicities
A PRISMA-based survey of 158 computational works on toxic meme detection introduces a new toxicity taxonomy and a framework linking target, intent, and conveyance tactics while noting trends in LLMs and cross-modal methods.