Study on Automated Annotation of Censorship Victims and Culturomic Epidemic Tracking

Study on Automated Annotation of Censorship Victims and Culturomic Epidemic Tracking The passage describes a methodological validation of an algorithm for identifying censored names and a culturomic analysis of historical epidemics. It contains no specific allegations, financial flows, or connections to high‑profile individuals or agencies, offering only generic research findings. Key insights: Human annotator classified 36 names as 'S', 27 as 'B', and 37 as ambiguous 'N'.; Algorithm suppression/elevation matched annotator decisions with 81% (S) and 93% (B) correspondence.; Culturomic data from Google searches aligns with known influenza epidemic peaks.