This study examines the application of computational models, particularly Aspect-Based Sentiment Analysis (ABSA), to the analysis of political communication in online spaces. The paper provides an in-depth analysis of affective polarization in user-generated content on YouTube Shorts related to the 2023–2024 Israel–Ham...
War discourse on YouTube emerges through linked interactions among videos, channels, audiences, comments, and replies. This paper compares YouTube discussions of two U.S.-linked conflicts: the Afghanistan withdrawal in 2021 and the Iran conflict escalation in 2026. We analyze four corpora separating news organizations...
Arthur Buzelin, Pedro Augusto Torres Bento, Yan Aquino Amorim et al.· Proceedings of the 37th ACM...· 0 citations
With the expansion of digital media, social media platforms have transformed not only communication technologies but also the relational dynamics between content producers and audiences. Among these platforms, YouTube provides an interaction environment that is both continuous and visible through its video-based narrat...
Rage bait as a strategy of provoking negative emotions for engagement has surged in relevance amid 2025’s social media dynamics. This study addresses its political dimension, analyzing how it is perceived by the online community as opposed to existing dictionary definitions of the phrase. The research is based on a cor...
E. Troshchenkova· Voprosy Kognitivnoy Lingvist...· 0 citations
The positions users express during political discussions on social media function as acts of social identity work. While the ideological alignment between online sources and their audiences is well documented, whether this alignment extends to the rhetorical style they use to express their positions, remains largely un...
Davide Bassi, Giovanni Da San Martino, Renata Vieira et al.· Social Network Analysis and...· 0 citations
What is the emotional register of Arabic YouTube's affective publics? To investigate this, we analyzed 67,725 YouTube comments collected around socio-political topics associated with Yemen, Saudi Arabia, Iraq, Jordan, and Syria using a unified sentiment-and-emotion pipeline. Our results profile a single regional affect...
L. Ng, C. Albert, A. Melhem et al.· 0 citations
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