Shashemel | 30 Nov Live010204 Min Link

Abstract This study analyzes the "shashemel" live stream (identifier live010204) recorded on 30 November. Using multimodal processing of audio–visual content and chat logs, we examine temporal content segments, classify content themes, quantify viewer engagement, and evaluate moderation dynamics. Results reveal distinct segment types (talk, performance, Q&A), peak engagement at minutes 12–18, sentiment shifts correlated with content changes, and moderation actions concentrated during high-engagement intervals. We discuss implications for livestream analytics and propose an open-source pipeline for reproducible analysis.

: Since this location is known for its cultural and historical significance, the feature could include a Localized Peer-to-Peer Sync shashemel 30 nov live010204 min link

Check Ethiopian news channels (e.g., EBC, Fana Broadcasting, Addis Standard) for archived live streams. Abstract This study analyzes the "shashemel" live stream