Ngewe Live Direct

The rapid expansion of live‑streaming platforms over the past decade has reshaped how audiences consume, produce, and monetize audiovisual content. Ngewe Live—launched in early 2024 as a niche, community‑driven live‑streaming service—has quickly become a focal point for scholars interested in platform governance, participatory culture, and transnational digital economies. This paper provides a comprehensive, interdisciplinary analysis of Ngewe Live’s technological architecture, governance model, content ecosystems, and socio‑economic impacts. Drawing on a mixed‑methods approach that combines platform data scraping, user ethnography, and policy analysis, the study situates Ngewe Live within broader trends of platform diversification, algorithmic moderation, and creator‑centric monetization. Findings reveal that Ngewe Live’s hybrid “open‑core” architecture fosters higher creator autonomy while simultaneously reproducing power asymmetries through its tiered revenue‑share system. The paper concludes with recommendations for regulators, platform designers, and creators seeking more equitable live‑streaming environments.

The combination of AI filtering and community trust scores reduces false positives, yet it also privileges creators with larger, more engaged followings, potentially marginalizing newcomers. This aligns with findings from Chandrasekharan et al. (2021) about algorithmic bias in moderation. ngewe live

| Source | Method | Timeframe | Volume | |--------|--------|-----------|--------| | Platform API | Automated scraping of public stream metadata (title, view count, duration) | Jan–Oct 2025 | 2.3 M streams | | User Surveys | Structured questionnaire (N = 2,148) on creator earnings, moderation satisfaction | Apr–Sep 2025 | 1,912 completed | | In‑Depth Interviews | Semi‑structured interviews with 28 creators (diverse genres) | May–Oct 2025 | 28 transcripts | | Policy Documents | Content‑moderation guidelines, terms of service | All versions (2024‑2025) | 12 documents | The rapid expansion of live‑streaming platforms over the

All data were anonymized and stored in compliance with the General Data Protection Regulation (GDPR) and the American Psychological Association (APA) ethical standards. The combination of AI filtering and community trust