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MATK: The Meme Analytical Tool Kit

arXiv 2312.06094 ↗First posted 11 Dec 2023cs.CL cs.CV cs.MMcited by 0

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Abstract (arXiv)

The rise of social media platforms has brought about a new digital culture called memes. Memes, which combine visuals and text, can strongly influence public opinions on social and cultural issues. As a result, people have become interested in categorizing memes, leading to the development of various datasets and multimodal models that show promising results in this field. However, there is currently a lack of a single library that allows for the reproduction, evaluation, and comparison of these models using fair benchmarks and settings. To fill this gap, we introduce the Meme Analytical Tool Kit (MATK), an open-source toolkit specifically designed to support existing memes datasets and cutting-edge multimodal models. MATK aims to assist researchers and engineers in training and reproducing these multimodal models for meme classification tasks, while also providing analysis techniques to gain insights into their strengths and weaknesses. To access MATK, please visit urlhttps://github.com/Social-AI-Studio/MATK.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 19 of its 29 references that are in the map. First posted on arXiv 11 Dec 2023.

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References · 19

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  11. 2020The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memescited by 490
  12. 2020SemEval-2020 Task 8: Memotion Analysis -- The Visuo-Lingual Metaphor!cited by 78
7 more
  1. 2021Detecting Harmful Memes and Their Targetscited by 78
  2. 2023Prompting for Multimodal Hateful Meme Classificationcited by 69
  3. 2022Detecting and Understanding Harmful Memes: A Surveycited by 58
  4. 2020Vilio: State-of-the-art Visio-Linguistic Models applied to Hateful Memescited by 51
  5. 2021Disentangling Hate in Online Memescited by 46
  6. 2020Detecting Hateful Memes Using a Multimodal Deep Ensemblecited by 30
  7. 2023TotalDefMeme: A Multi-Attribute Meme dataset on Total Defence in Singaporecited by 12

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