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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…

Computation and Language · Computer Science 2021-10-04 Shraman Pramanick , Dimitar Dimitrov , Rituparna Mukherjee , Shivam Sharma , Md. Shad Akhtar , Preslav Nakov , Tanmoy Chakraborty

With the rapid increase in access to internet and the subsequent growth in the population of online social media users, the quality of information posted, disseminated and consumed via these platforms is an issue of growing concern. A large…

Social and Information Networks · Computer Science 2020-10-20 Amrita Bhattacharjee , Kai Shu , Min Gao , Huan Liu

Recent years have witnessed the proliferation of offensive content online such as fake news, propaganda, misinformation, and disinformation. While initially this was mostly about textual content, over time images and videos gained…

As social media platforms are evolving from text-based forums into multi-modal environments, the nature of misinformation in social media is also transforming accordingly. Taking advantage of the fact that visual modalities such as images…

Machine Learning · Computer Science 2024-09-19 Sara Abdali , Sina shaham , Bhaskar Krishnamachari

In recent years, disinformation including fake news, has became a global phenomenon due to its explosive growth, particularly on social media. The wide spread of disinformation and fake news can cause detrimental societal effects. Despite…

Social and Information Networks · Computer Science 2020-01-06 Kai Shu , Suhang Wang , Dongwon Lee , Huan Liu

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…

Dark humor in online memes poses unique challenges due to its reliance on implicit, sensitive, and culturally contextual cues. To address the lack of resources and methods for detecting dark humor in multimodal content, we introduce a novel…

Computer Vision and Pattern Recognition · Computer Science 2025-10-31 Sai Kartheek Reddy Kasu , Mohammad Zia Ur Rehman , Shahid Shafi Dar , Rishi Bharat Junghare , Dhanvin Sanjay Namboodiri , Nagendra Kumar

In recent years, the problem of misinformation on the web has become widespread across languages, countries, and various social media platforms. Although there has been much work on automated fake news detection, the role of images and…

Computation and Language · Computer Science 2022-05-05 Gullal S. Cheema , Sherzod Hakimov , Abdul Sittar , Eric Müller-Budack , Christian Otto , Ralph Ewerth

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

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

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…

Computer Vision and Pattern Recognition · Computer Science 2020-12-08 Yi Zhou , Zhenhao Chen

The proliferation of online misinformation videos poses serious societal risks. Current datasets and detection methods primarily target binary classification or single-modality localization based on post-processed data, lacking the…

Social and Information Networks · Computer Science 2025-09-11 Bingjian Yang , Danni Xu , Kaipeng Niu , Wenxuan Liu , Zheng Wang , Mohan Kankanhalli

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…

The rise of disinformation on social media, especially through the strategic manipulation or repurposing of images, paired with provocative text, presents a complex challenge for traditional fact-checking methods. In this paper, we…

Multimedia · Computer Science 2025-04-11 Arka Ujjal Dey , Artemis Llabrés , Ernest Valveny , Dimosthenis Karatzas

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 have emerged as an increasingly popular means of communication on the Web. Although typically intended to elicit humour, they have been increasingly used to spread hatred, trolling, and cyberbullying, as well as to target…

Computation and Language · Computer Science 2022-05-13 Shivam Sharma , Md. Shad Akhtar , Preslav Nakov , Tanmoy Chakraborty

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…

Computer Vision and Pattern Recognition · Computer Science 2025-04-15 Maria Tzelepi , Vasileios Mezaris

The proliferation of disinformation, particularly in multimodal contexts combining text and images, presents a significant challenge across digital platforms. This study investigates the potential of large multimodal models (LMMs) in…

Computer Vision and Pattern Recognition · Computer Science 2025-09-29 Yasmina Kheddache , Marc Lalonde

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…

Computer Vision and Pattern Recognition · Computer Science 2025-08-07 Kushal Kanwar , Dushyant Singh Chauhan , Gopendra Vikram Singh , Asif Ekbal

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
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