Tubegalore Link < 2025 >

This paper examines how niche video-aggregator platforms shape user consumption, content diversity, and moderation practices. Using a mixed-methods approach combining automated crawl data, recommendation-path analysis, and interviews with platform moderators and users, we analyze TubeGalore, a representative aggregator that indexes and links to third-party video content. We investigate how recommendation algorithms and site structure influence content exposure, how moderation policies are implemented given legal and technical constraints, and the implications for misinformation, copyright, and creator attribution. Findings reveal how ranking heuristics and link presentation bias attention toward certain creators, how decentralized moderation struggles with embedded third-party hosting, and how users navigate attribution and trust. We propose design and policy recommendations to improve transparency, reduce harm, and better support creators.

Report on “Tubegalore” (commonly referenced as “Tubegalore link”) tubegalore link

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