Ngewe Live 🎉

The Rise of Live Streaming: Trends and Insights

2. Literature Review

| Theme | Key Contributions | Relevance to Ngewe | |-------|-------------------|--------------------| | Platform Power & Governance | Srnicek (2017); Van Dijck (2020) | Provides a lens to examine Ngewe’s “open‑core” model. | | Algorithmic Moderation | Gillespie (2018); Chandrasekharan et al. (2021) | Informs analysis of Ngewe’s community‑moderated AI system. | | Creator Economies | Cunningham & Craig (2022); Chen (2023) | Groundwork for evaluating Ngewe’s revenue‑share scheme. | | Participatory Culture | Jenkins (2006, 2022) | Helps interpret audience‑creator interaction on Ngewe. | | Live‑Streaming Latency & UX | Gazzoli & Haines (2020); Zhou et al. (2024) | Relevant to Ngewe’s technical claim of sub‑200 ms latency. | ngewe live

6. Discussion

6.1 Hybrid “Open‑Core” Architecture as a Double‑Edged Sword

Ngewe’s decision to release its ingest server as open‑source promotes technical empowerment but also raises security concerns; 4 % of self‑hosted nodes experienced DDoS attacks within the first year. The platform’s mitigation—mandatory TLS encryption and a community‑maintained whitelist—demonstrates a viable model for distributed resilience. The Rise of Live Streaming: Trends and Insights 2

: While AI can help expedite drafting, rely on your personal expertise to make the post genuinely valuable and authentic. 4. Technical Setup (If starting new) | | Live‑Streaming Latency & UX | Gazzoli