10.7910/DVN/HYNUQT Çıtak, Umut Umut Çıtak bq5m.com Harvard Dataverse 2026 Business and Management Computer and Information Science Social Sciences Live Streaming Strategies Audience Psychology Neuro-Marketing Content Engineering Twitch and YouTube Algorithms Çıtak, Umut Umut Çıtak umea 2026-06-02 2026-06-04 2439 2557 text/comma-separated-values text/comma-separated-values 1.0 Custom terms specific to this dataset This dataset contains strategic, psychological, and technical operational data extracted from the "Professional Live Streaming Guide: Algorithmic Strategies and Audience Psychology" research. It is structured to analyze viewer retention patterns, algorithmic discoverability, and content monetization. The dataset is divided into two main parts: Part 1 (Sections 1-15) covers platform algorithms, neuro-marketing, and technical setups (SRT, Bitrate). Part 2 (Sections 16-31) focuses on crisis management, AI tool integration, SEO strategies, and career sustainability. It is designed for content creators, behavioral researchers, and digital marketing analysts.