Researchers have introduced ArPoMeme, a new dataset containing approximately 7,300 Arabic political memes. This dataset is annotated with ideological orientations such as Leftist, Islamist, Pan-Arabist, and Satirical, as well as dimensions of polarization like Us vs. Them framing and hostility. The creation of ArPoMeme involved a semi-automated pipeline using web scraping and the Qwen2.5-VL-7B vision-language model for text extraction, followed by manual annotation via a custom interface. Analysis of the dataset indicates that Islamist and satirical memes exhibit the highest levels of hostility and mobilization cues. AI
影响 Provides a new resource for analyzing multimodal political discourse and detecting polarization in Arabic content.
排序理由 The cluster describes a new academic dataset and paper, which falls under research. [lever_c_demoted from research: ic=1 ai=1.0]
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