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Related papers: D-HUMOR: Dark Humor Understanding via Multimodal O…

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Dark humor often relies on subtle cultural nuances and implicit cues that require contextual reasoning to interpret, posing safety challenges that current static benchmarks fail to capture. To address this, we introduce a novel multimodal,…

Computation and Language · Computer Science 2026-03-20 Ahmed Sharshar , Hosam Elgendy , Saad El Dine Ahmed , Yasser Rohaim , Yuxia Wang

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…

Computation and Language · Computer Science 2023-12-12 Hongzhan Lin , Ziyang Luo , Jing Ma , Long Chen

Understanding humor is a core aspect of social intelligence, yet it remains a significant challenge for Large Multimodal Models (LMMs). We introduce PixelHumor, a benchmark dataset of 2,800 annotated multi-panel comics designed to evaluate…

Computer Vision and Pattern Recognition · Computer Science 2025-09-18 Yuriel Ryan , Rui Yang Tan , Kenny Tsu Wei Choo , Roy Ka-Wei Lee

Generating humorous memes is a challenging multimodal task that moves beyond direct image-to-caption supervision. It requires a nuanced reasoning over visual content, contextual cues, and subjective humor. To bridge this gap between visual…

Machine Learning · Computer Science 2026-01-21 Xueyan Li , Yingyi Xue , Mengjie Jiang , Qingzi Zhu , Yazhe Niu

Internet memes have gained significant influence in communicating political, psychological, and sociocultural ideas. While memes are often humorous, there has been a rise in the use of memes for trolling and cyberbullying. Although a wide…

Computation and Language · Computer Science 2024-01-19 Prince Jha , Krishanu Maity , Raghav Jain , Apoorv Verma , Sriparna Saha , Pushpak Bhattacharyya

Hateful meme detection presents a significant challenge as a multimodal task due to the complexity of interpreting implicit hate messages and contextual cues within memes. Previous approaches have fine-tuned pre-trained vision-language…

Computation and Language · Computer Science 2025-02-18 Ming Shan Hee , Roy Ka-Wei Lee

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…

Computation and Language · Computer Science 2024-01-25 Hongzhan Lin , Ziyang Luo , Wei Gao , Jing Ma , Bo Wang , Ruichao Yang

Memes are a dominant medium for online communication and manipulation because meaning emerges from interactions between embedded text, imagery, and cultural context. Existing meme research is distributed across tasks (hate, misogyny,…

Hateful and offensive content detection has been extensively explored in a single modality such as text. However, such toxic information could also be communicated via multimodal content such as online memes. Therefore, detecting multimodal…

Information Retrieval · Computer Science 2021-08-16 Rui Cao , Ziqing Fan , Roy Ka-Wei Lee , Wen-Haw Chong , Jing Jiang

Internet memes represent a popular form of multimodal online communication and often use figurative elements to convey layered meaning through the combination of text and images. However, it remains largely unclear how multimodal large…

Computation and Language · Computer Science 2026-03-25 Shijia Zhou , Saif M. Mohammad , Barbara Plank , Diego Frassinelli

Disinformation has become a serious problem on social media. In particular, given their short format, visual attraction, and humorous nature, memes have a significant advantage in dissemination among online communities, making them an…

Computation and Language · Computer Science 2022-05-26 Jingnong Qu , Liunian Harold Li , Jieyu Zhao , Sunipa Dev , Kai-Wei Chang

Recent studies have proposed models that yielded promising performance for the hateful meme classification task. Nevertheless, these proposed models do not generate interpretable explanations that uncover the underlying meaning and support…

Computation and Language · Computer Science 2023-06-21 Ming Shan Hee , Wen-Haw Chong , Roy Ka-Wei Lee

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…

Computation and Language · Computer Science 2026-04-02 Hexiang Gu , Qifan Yu , Yuan Liu , Zikang Li , Saihui Hou , Jian Zhao , Zhaofeng He

Memes are graphics and text overlapped so that together they present concepts that become dubious if one of them is absent. It is spread mostly on social media platforms, in the form of jokes, sarcasm, motivating, etc. After the success of…

Computer Vision and Pattern Recognition · Computer Science 2024-09-05 Tariq Habib Afridi , Aftab Alam , Muhammad Numan Khan , Jawad Khan , Young-Koo Lee

The rapid evolution of social media has provided enhanced communication channels for individuals to create online content, enabling them to express their thoughts and opinions. Multimodal memes, often utilized for playful or humorous…

Computer Vision and Pattern Recognition · Computer Science 2025-05-02 Minh-Hao Van , Xintao Wu

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…

Internet memes are a central element of online culture, blending images and text. While substantial research has focused on either the visual or textual components of memes, little attention has been given to their interplay. This gap…

Computer Vision and Pattern Recognition · Computer Science 2026-02-03 Aidos Konyspay , Pakizar Shamoi , Malika Ziyada , Zhusup Smambayev

Internet memes are a powerful form of online communication, yet their nature and reliance on commonsense knowledge make toxicity detection challenging. Identifying key features for meme interpretation and understanding, is a crucial task.…

Computation and Language · Computer Science 2026-03-05 Stefano De Giorgis , Ting-Chih Chen , Filip Ilievski

Memes are widely used for humor and cultural commentary, but they are increasingly exploited to spread hateful content. Due to their multimodal nature, hateful memes often evade traditional text-only or image-only detection systems,…

Computer Vision and Pattern Recognition · Computer Science 2025-04-24 Ali Anaissi , Junaid Akram , Kunal Chaturvedi , Ali Braytee

In the past few years, the meme has become a new way of communication on the Internet. As memes are the images with embedded text, it can quickly spread hate, offence and violence. Classifying memes are very challenging because of their…

Computer Vision and Pattern Recognition · Computer Science 2021-03-02 Eftekhar Hossain , Omar Sharif , Mohammed Moshiul Hoque
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