AI RESEARCH
Multimodal Analysis of State-Funded News Coverage of the Israel-Hamas War on YouTube Shorts
arXiv CS.AI
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ArXi:2604.00994v1 Announce Type: cross YouTube Shorts have become central to news consumption on the platform, yet research on how geopolitical events are represented in this format remains limited. To address this gap, we present a multimodal pipeline that combines automatic transcription, aspect-based sentiment analysis (ABSA), and semantic scene classification. The pipeline is first assessed for feasibility and then applied to analyze short-form coverage of the Israel-Hamas war by state-funded outlets.