AI RESEARCH
Distinguishing Right from Wrong in Debates: Attribution Analysis of Chinese Harmful Memes
arXiv CS.CL
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ArXi:2605.24344v1 Announce Type: new Research on harmful meme detection has garnered significant attention, resulting in the development of numerous datasets and methods. However, progress in detecting Chinese harmful memes lags considerably, primarily due to two challenges: first, accurately assessing a meme's harmfulness depends heavily on understanding deep cultural context; second, many memes are semantically ambiguous, making harmfulness highly subjective.