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Related papers: Deciphering Hate: Identifying Hateful Memes and Th…

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Hateful content on social media increasingly appears as multimodal memes that combine images and text to convey harmful narratives. In low-resource languages such as Bengali, automated detection remains challenging due to limited annotated…

Computation and Language · Computer Science 2026-02-24 Raihan Tanvir , Md. Golam Rabiul Alam

Numerous machine learning (ML) and deep learning (DL)-based approaches have been proposed to utilize textual data from social media for anti-social behavior analysis like cyberbullying, fake news detection, and identification of hate speech…

Computation and Language · Computer Science 2022-12-22 Md. Rezaul Karim , Sumon Kanti Dey , Tanhim Islam , Md. Shajalal , Bharathi Raja Chakravarthi

Internet memes have become a dominant form of expression on social media, including within the Bengali-speaking community. While often humorous, memes can also be exploited to spread offensive, harmful, and inflammatory content targeting…

Computation and Language · Computer Science 2026-02-27 Rakib Ullah , Mominul islam , Md Sanjid Hossain , Md Ismail Hossain

Memes have become a distinctive and effective form of communication in the digital era, attracting online communities and cutting across cultural barriers. Even though memes are frequently linked with humor, they have an amazing capacity to…

Computer Vision and Pattern Recognition · Computer Science 2024-01-19 Kazi Toufique Elahi , Tasnuva Binte Rahman , Shakil Shahriar , Samir Sarker , Sajib Kumar Saha Joy , Faisal Muhammad Shah

Social media often serves as a breeding ground for various hateful and offensive content. Identifying such content on social media is crucial due to its impact on the race, gender, or religion in an unprejudiced society. However, while…

Computation and Language · Computer Science 2022-10-10 Mithun Das , Somnath Banerjee , Punyajoy Saha , Animesh Mukherjee

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…

Hate speech online targets individuals or groups based on identity attributes and spreads rapidly, posing serious social risks. Memes, which combine images and text, have emerged as a nuanced vehicle for disseminating hate speech, often…

Multiagent Systems · Computer Science 2026-03-26 Rui Xing , Qi Chai , Jie Ma , Jing Tao , Pinghui Wang , Shuming Zhang , Xinping Wang , Hao Wang

The dramatic increase in the use of social media platforms for information sharing has also fueled a steep growth in online abuse. A simple yet effective way of abusing individuals or communities is by creating memes, which often integrate…

Computer Vision and Pattern Recognition · Computer Science 2023-10-19 Mithun Das , Animesh Mukherjee

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…

Online social media platforms are central to everyday communication and information seeking. While these platforms serve positive purposes, they also provide fertile ground for the spread of hate speech, offensive language, and bullying…

Computation and Language · Computer Science 2025-10-03 Md Arid Hasan , Firoj Alam , Md Fahad Hossain , Usman Naseem , Syed Ishtiaque Ahmed

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

One of the most alarming issues in digital society is hate speech (HS) on social media. The severity is so high that researchers across the globe are captivated by this domain. A notable amount of work has been conducted to address the…

Machine Learning · Computer Science 2025-04-14 Md Abdullah Al Kafi , Sumit Kumar Banshal , Md Sadman Shakib , Showrov Azam , Tamanna Alam Tabashom

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

Memes on the Internet are often harmless and sometimes amusing. However, by using certain types of images, text, or combinations of both, the seemingly harmless meme becomes a multimodal type of hate speech -- a hateful meme. The Hateful…

Artificial Intelligence · Computer Science 2020-12-25 Riza Velioglu , Jewgeni Rose

The exponential growths of social media and micro-blogging sites not only provide platforms for empowering freedom of expressions and individual voices, but also enables people to express anti-social behaviour like online harassment,…

Hate speech on digital platforms has become a growing concern globally, especially in linguistically diverse countries like Bangladesh, where regional dialects play a major role in everyday communication. Despite progress in hate speech…

Social media sites such as YouTube and Facebook have become an integral part of everyone's life and in the last few years, hate speech in the social media comment section has increased rapidly. Detection of hate speech on social media…

Computation and Language · Computer Science 2020-12-18 Nauros Romim , Mosahed Ahmed , Hriteshwar Talukder , Md Saiful Islam

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…

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

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
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