Summary of Armeme: Propagandistic Content in Arabic Memes, by Firoj Alam et al.
ArMeme: Propagandistic Content in Arabic Memes
by Firoj Alam, Abul Hasnat, Fatema Ahmed, Md Arid Hasan, Maram Hasanain
First submitted to arxiv on: 6 Jun 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV)
GrooveSquid.com Paper Summaries
GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!
| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary A novel AI-based system for detecting misleading and persuasive Arabic memes has been developed by researchers in this study. The model utilizes an annotated dataset of approximately 6,000 Arabic memes collected from social media platforms, which is a significant resource for Arabic multimodal research. This work aims to create computational tools for identifying propagandistic content and will make the dataset publicly available. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This study creates a new way to spot false information on Arabic social media. Researchers made a big database of 6,000 Arabic memes from different places online, which is the first one like it. They did this so they could make computers that can find fake messages and propaganda. This is important because bad information can hurt people, groups, and society. |
