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Unsafe Diffusion: On the Generation of Unsafe Images and Hateful Memes From Text-To-Image Models

Conference on Computer and Communications Security, 2023
State-of-the-art Text-to-Image models like Stable Diffusion and DALLE\cdot2 are revolutionizing how people generate visual content. At the same time, society has serious concerns about how adversaries can exploit such models to generate problematic or ...
Yi-Ting Qu   +5 more
semanticscholar   +1 more source

A Multitask Framework for Sentiment, Emotion and Sarcasm aware Cyberbullying Detection from Multi-modal Code-Mixed Memes

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2022
Detecting cyberbullying from memes is highly challenging, because of the presence of the implicit affective content which is also often sarcastic, and multi-modality (image + text).
Krishanu Maity   +3 more
semanticscholar   +1 more source

Meme marketing on social media: the role of informational cues of brand memes in shaping consumers' brand relationship

Journal of Research in Interactive Marketing, 2023
The proliferation of digital communication on social media provides new opportunities for businesses to take advantage of Internet memes to boost customer engagement.
Yung-Cheng Shen   +2 more
semanticscholar   +1 more source

MemeIntel: Explainable Detection of Propagandistic and Hateful Memes

Conference on Empirical Methods in Natural Language Processing
The proliferation of multimodal content on social media presents significant challenges in understanding and moderating complex, context-dependent issues such as misinformation, hate speech, and propaganda.
Mohamed Bayan Kmainasi   +4 more
semanticscholar   +1 more source

Towards Comprehensive Detection of Chinese Harmful Memes

Neural Information Processing Systems
This paper has been accepted in the NeurIPS 2024 D&B Track. Harmful memes have proliferated on the Chinese Internet, while research on detecting Chinese harmful memes significantly lags behind due to the absence of reliable datasets and effective ...
Junyu Lu   +7 more
semanticscholar   +1 more source

Meme-ingful Analysis: Enhanced Understanding of Cyberbullying in Memes Through Multimodal Explanations

Conference of the European Chapter of the Association for Computational Linguistics
Internet memes have gained significant influence in communicating political, psychological, and sociocultural ideas. While meme are often humorous, there has been a rise in the use of memes for trolling and cyberbullying.
Prince Jha   +5 more
semanticscholar   +1 more source

Deciphering Hate: Identifying Hateful Memes and Their Targets

Annual Meeting of the Association for Computational Linguistics
Internet memes have become a powerful means for individuals to express emotions, thoughts, and perspectives on social media. While often considered as a source of humor and entertainment, memes can also disseminate hateful content targeting individuals ...
Eftekhar Hossain   +3 more
semanticscholar   +1 more source

Propaganda to Hate: A Multimodal Analysis of Arabic Memes with Multi-Agent LLMs

WISE
In the past decade, social media platforms have been used for information dissemination and consumption. While a major portion of the content is posted to promote citizen journalism and public awareness, some content is posted to mislead users.
Firoj Alam   +4 more
semanticscholar   +1 more source

Memes, History and Emotional Life

, 2023
Internet memes are recognised for their role in creating community through shared humour or in-group cultural knowledge. One category of meme uses historical art pieces, coupled with short texts or dialogue, as a form of social commentary on both past ...
Katie Barclay, Leanne Downing
semanticscholar   +1 more source

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