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The age of social media is flooded with Internet memes, necessitating a clear grasp and effective identification of harmful ones. This task presents a significant challenge due to the implicit meaning embedded in memes, which is not…

计算与语言 · 计算机科学 2024-01-25 Hongzhan Lin , Ziyang Luo , Wei Gao , Jing Ma , Bo Wang , Ruichao Yang

The age of social media is rife with memes. Understanding and detecting harmful memes pose a significant challenge due to their implicit meaning that is not explicitly conveyed through the surface text and image. However, existing harmful…

计算与语言 · 计算机科学 2023-12-12 Hongzhan Lin , Ziyang Luo , Jing Ma , Long Chen

Internet memes have emerged as a popular multimodal medium, yet they are increasingly weaponized to convey harmful opinions through subtle rhetorical devices like irony and metaphor. Existing detection approaches, including Multimodal Large…

机器学习 · 计算机科学 2026-04-17 Wenshuo Wang , Ziyou Jiang , Junjie Wang , Mingyang Li , Jie Huang , Yuekai Huang , Zhiyuan Chang , Feiyan Duan , Qing Wang

The proliferation of Internet memes in the age of social media necessitates effective identification of harmful ones. Due to the dynamic nature of memes, existing data-driven models may struggle in low-resource scenarios where only a few…

计算与语言 · 计算机科学 2024-11-11 Jianzhao Huang , Hongzhan Lin , Ziyan Liu , Ziyang Luo , Guang Chen , Jing Ma

Internet memes are powerful tools for communication, capable of spreading political, psychological, and sociocultural ideas. However, they can be harmful and can be used to disseminate hate toward targeted individuals or groups. Although…

计算机视觉与模式识别 · 计算机科学 2026-02-03 Felix Breiteneder , Mohammad Belal , Muhammad Saad Saeed , Shahed Masoudian , Usman Naseem , Kulshrestha Juhi , Markus Schedl , Shah Nawaz

Hateful memes have become a significant concern on the Internet, necessitating robust automated detection systems. While Large Multimodal Models (LMMs) have shown promise in hateful meme detection, they face notable challenges like…

计算与语言 · 计算机科学 2026-03-03 Jingbiao Mei , Jinghong Chen , Guangyu Yang , Weizhe Lin , Bill Byrne

Memes have become a dominant form of communication in social media in recent years. Memes are typically humorous and harmless, however there are also memes that promote hate speech, being in this way harmful to individuals and groups based…

计算机视觉与模式识别 · 计算机科学 2025-04-15 Maria Tzelepi , Vasileios Mezaris

Hateful memes are an emerging method of spreading hate on the internet, relying on both images and text to convey a hateful message. We take an interpretable approach to hateful meme detection, using machine learning and simple heuristics…

机器学习 · 计算机科学 2021-08-24 Tanvi Deshpande , Nitya Mani

Internet memes have become a dominant method of communication; at the same time, however, they are also increasingly being used to advocate extremism and foster derogatory beliefs. Nonetheless, we do not have a firm understanding as to…

Among the various modes of communication in social media, the use of Internet memes has emerged as a powerful means to convey political, psychological, and socio-cultural opinions. Although memes are typically humorous in nature, recent…

As a multimodal medium combining images and text, memes frequently convey implicit harmful content through metaphors and humor, rendering the detection of harmful memes a complex and challenging task. Although recent studies have made…

计算与语言 · 计算机科学 2026-04-02 Hexiang Gu , Qifan Yu , Yuan Liu , Zikang Li , Saihui Hou , Jian Zhao , Zhaofeng He

The rapid expansion of memes on social media has highlighted the urgent need for effective approaches to detect harmful content. However, traditional data-driven approaches struggle to detect new memes due to their evolving nature and the…

计算与语言 · 计算机科学 2025-07-10 Ziyan Liu , Chunxiao Fan , Haoran Lou , Yuexin Wu , Kaiwei Deng

Hateful memes often require compositional multimodal reasoning: the image and text may appear benign in isolation, yet their interaction conveys harmful intent. Although thinking-based multimodal large language models (MLLMs) have recently…

计算与语言 · 计算机科学 2026-03-03 Mohamed Bayan Kmainasi , Mucahid Kutlu , Ali Ezzat Shahroor , Abul Hasnat , Firoj Alam

The dissemination of hateful memes online has adverse effects on social media platforms and the real world. Detecting hateful memes is challenging, one of the reasons being the evolutionary nature of memes; new hateful memes can emerge by…

社会与信息网络 · 计算机科学 2023-07-10 Yiting Qu , Xinlei He , Shannon Pierson , Michael Backes , Yang Zhang , Savvas Zannettou

Memes are used for spreading ideas through social networks. Although most memes are created for humor, some memes become hateful under the combination of pictures and text. Automatically detecting the hateful memes can help reduce their…

计算机视觉与模式识别 · 计算机科学 2020-12-08 Yi Zhou , Zhenhao Chen

The automatic identification of harmful content online is of major concern for social media platforms, policymakers, and society. Researchers have studied textual, visual, and audio content, but typically in isolation. Yet, harmful content…

Detecting harmful memes is crucial for safeguarding the integrity and harmony of online environments, yet existing detection methods are often resource-intensive, inflexible, and lacking explainability, limiting their applicability in…

计算与语言 · 计算机科学 2026-01-29 Fengjun Pan , Xiaobao Wu , Tho Quan , Anh Tuan Luu

Internet memes have become powerful means to transmit political, psychological, and socio-cultural ideas. Although memes are typically humorous, recent days have witnessed an escalation of harmful memes used for trolling, cyberbullying, and…

Internet memes, channels for humor, social commentary, and cultural expression, are increasingly used to spread toxic messages. Studies on the computational analyses of toxic memes have significantly grown over the past five years, and the…

计算与语言 · 计算机科学 2026-04-20 Delfina Sol Martinez Pandiani , Erik Tjong Kim Sang , Davide Ceolin

Hateful memes have emerged as a significant concern on the Internet. Detecting hateful memes requires the system to jointly understand the visual and textual modalities. Our investigation reveals that the embedding space of existing…

计算与语言 · 计算机科学 2024-10-31 Jingbiao Mei , Jinghong Chen , Weizhe Lin , Bill Byrne , Marcus Tomalin
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