| Step | Description | Sources | |------|-------------|---------| | 1. Data extraction | Aggregated platform analytics (traffic, view‑time, engagement) via 89.com’s public API and internal reporting dashboards (access granted under a non‑disclosure agreement). | 89.com analytics console (Jan‑Mar 2026) | | 2. Content audit | Catalogued all media assets tagged with “Katrina” (videos, articles, podcasts, live streams). | CMS metadata, tag‑library | | 3. Audience profiling | Analyzed demographic, geographic, and device‑usage data. | Google Analytics, in‑app surveys (n = 12,842) | | 4. Competitive benchmarking | Compared Katrina’s performance against similar verticals on rival platforms (e.g., iQiyi, Bilibili, Youku). | Third‑party market reports (CCTV‑Media Insight, QuestMobile) | | 5. Sentiment & trend analysis | Applied natural‑language processing to comment sections, social‑media mentions, and review sites. | NLP pipeline (BERT‑based), social listening tools (Meltwater, Talkwalker) |
, where creators use short-form video to provide "native advertising" or real-time personal accounts. Algorithmic News