realityinbeta-anonymized

Here's a draft for the repository description — it follows the standard format Figshare and Zenodo expect (what, why, how, what's included):Title: Anonymised Dataset: Thai Short-Form Video Creator Agency Across TikTok, YouTube Shorts, and Facebook Reels (January–April 2025)Description:This dataset accompanies the article "Reality in Beta: Pop Culture, Algorithmic Curation, and Narrative Agency Among Thai Short-Form Video Creators," submitted to the Asian Journal of Communication. It contains anonymised engagement metrics and platform metadata for 186 short-form videos posted by Thai creators or featuring Thai cultural content across TikTok (n=81), YouTube Shorts (n=54), and Facebook Reels (n=51), collected between January and April 2025.Videos were gathered through two methods: API and web scraping (n=102) and manual researcher observation (n=84). The scraped subsample exhibits higher mean engagement rates (4.69% vs 2.23%), reflecting selection bias toward algorithmically amplified content. This differential is discussed in the associated paper.All creator identifiers have been replaced with pseudonyms, video URLs removed, caption text replaced with a binary presence indicator, exact post dates coarsened to month level, and hashtag text replaced with counts. The dataset preserves all variables necessary to reproduce the paper's quantitative findings: platform, duration, view counts, engagement metrics, hashtag counts, and collection method.The Metadata sheet contains a full column dictionary and anonymisation protocol.