Multimodal Analysis of State-Funded News Coverage of the Israel-Hamas War on YouTube Shorts

arXiv:2604.00994v1 Announce Type: cross Abstract: 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