用多智能体大模型分析阿拉伯语梗图中宣传与仇恨的关联
Propaganda to Hate: A Multimodal Analysis of Arabic Memes with Multi-Agent LLMs
- 设计多智能体框架，联合分析梗图中的宣传与仇恨信息
- 扩展数据集，新增粗粒度与细粒度仇恨标签
- 发现宣传与仇恨在阿拉伯语梗图中存在显著关联
过去十年间，社交媒体成为信息传播与消费的重要平台。尽管多数内容旨在推动公民新闻与公共意识，但部分信息实则用于误导用户。在文本、图像、视频等多种内容形式中，以文字叠加图像的梗图尤为流行，常被用作宣传、仇恨言论和幽默的载体。现有研究多聚焦于单独识别梗图中的有害内容，对其交叉特征的研究极为有限。本文采用基于多智能体大模型的方法，探索阿拉伯语梗图中宣传与仇恨的交集。我们扩展了已有宣传性梗图数据集，增加了粗粒度与细粒度的仇恨标注。实验结果表明，宣传与仇恨在梗图中存在显著关联。研究提供了详尽的实验数据，可作为未来研究的基准。相关实验资源将公开共享（https://github.com/firojalam/propaganda-and-hateful-memes）。
原文摘要 · Abstract (English)
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. Among different content types such as text, images, and videos, memes (text overlaid on images) are particularly prevalent and can serve as powerful vehicles for propaganda, hate, and humor. In the current literature, there have been efforts to individually detect such content in memes. However, the study of their intersection is very limited. In this study, we explore the intersection between propaganda and hate in memes using a multi-agent LLM-based approach. We extend the propagandistic meme dataset with coarse and fine-grained hate labels. Our finding suggests that there is an association between propaganda and hate in memes. We provide detailed experimental results that can serve as a baseline for future studies. We will make the experimental resources publicly available to the community (https://github.com/firojalam/propaganda-and-hateful-memes).
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