HateProof: Are Hateful Meme Detection Systems really Robust?

P Aggarwal, P Chawla, M Das, P Saha… - Proceedings of the …, 2023 - dl.acm.org
Exploiting social media to spread hate has tremendously increased over the years. Lately,
multi-modal hateful content such as memes has drawn relatively more traction than uni …

Memegraphs: Linking memes to knowledge graphs

V Kougia, S Fetzel, T Kirchmair, E Çano… - … on Document Analysis …, 2023 - Springer
Memes are a popular form of communicating trends and ideas in social media and on the
internet in general, combining the modalities of images and text. They can express humor …

Text or Image? What is More Important in Cross-Domain Generalization Capabilities of Hate Meme Detection Models?

P Aggarwal, J Mehrabanian, W Huang… - arXiv preprint arXiv …, 2024 - arxiv.org
This paper delves into the formidable challenge of cross-domain generalization in
multimodal hate meme detection, presenting compelling findings. We provide enough …

Toxic Memes: A Survey of Computational Perspectives on the Detection and Explanation of Meme Toxicities

DSM Pandiani, ETK Sang, D Ceolin - arXiv preprint arXiv:2406.07353, 2024 - arxiv.org
Internet memes, channels for humor, social commentary, and cultural expression, are
increasingly used to spread toxic messages. Studies on the computational analyses of toxic …

[PDF][PDF] GerMemeHate: A Parallel Dataset of German Hateful Memes Translated from English

D Gold, P Aggarwal, T Zesch - Multimodal Hate Speech …, 2021 - inf.uni-hamburg.de
Hateful memes constitute an important part of online harassment, but are challenging due to
their visio-linguistic nature and because annotated datasets are rare for languages other …

Real Memes In-The-Wild: Explainable Classification of Hateful vs. Non-Hateful Memes.

HR Rho, R Leekha - 2023 - vtechworks.lib.vt.edu
The virality of hateful or violent memes over the recent years has encouraged deep learning
research on hateful meme classification. These models, however, are typically trained to …