{"ID":2888822,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2508.03732","arxiv_id":"2508.03732","title":"What is Beneath Misogyny: Misogynous Memes Classification and Explanation","abstract":"Memes are popular in the modern world and are distributed primarily for entertainment. However, harmful ideologies such as misogyny can be propagated through innocent-looking memes. The detection and understanding of why a meme is misogynous is a research challenge due to its multimodal nature (image and text) and its nuanced manifestations across different societal contexts. We introduce a novel multimodal approach, \\textit{namely}, \\textit{\\textbf{MM-Misogyny}} to detect, categorize, and explain misogynistic content in memes. \\textit{\\textbf{MM-Misogyny}} processes text and image modalities separately and unifies them into a multimodal context through a cross-attention mechanism. The resulting multimodal context is then easily processed for labeling, categorization, and explanation via a classifier and Large Language Model (LLM). The evaluation of the proposed model is performed on a newly curated dataset (\\textit{\\textbf{W}hat's \\textbf{B}eneath \\textbf{M}isogynous \\textbf{S}tereotyping (WBMS)}) created by collecting misogynous memes from cyberspace and categorizing them into four categories, \\textit{namely}, Kitchen, Leadership, Working, and Shopping. The model not only detects and classifies misogyny, but also provides a granular understanding of how misogyny operates in domains of life. The results demonstrate the superiority of our approach compared to existing methods. The code and dataset are available at \\href{https://github.com/kushalkanwarNS/WhatisBeneathMisogyny/tree/main}{https://github.com/Misogyny}.","short_abstract":"Memes are popular in the modern world and are distributed primarily for entertainment. However, harmful ideologies such as misogyny can be propagated through innocent-looking memes. The detection and understanding of why a meme is misogynous is a research challenge due to its multimodal nature (image and text) and its...","url_abs":"https://arxiv.org/abs/2508.03732","url_pdf":"https://arxiv.org/pdf/2508.03732v1","authors":"[\"Kushal Kanwar\",\"Dushyant Singh Chauhan\",\"Gopendra Vikram Singh\",\"Asif Ekbal\"]","published":"2025-07-30T14:38:53Z","proceeding":"cs.CV","tasks":"[\"cs.CV\"]","methods":"[\"Large Language Model\",\"Language Model\"]","has_code":false,"code_links":[{"ID":611584,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_id":2888822,"paper_url":"https://arxiv.org/abs/2508.03732","paper_title":"What is Beneath Misogyny: Misogynous Memes Classification and Explanation","repo_url":"https://github.com/kushalkanwarNS/WhatisBeneathMisogyny","is_official":false,"mentioned_in_paper":false,"mentioned_in_github":true,"github_stars":0}]}