{censor, ban, delete, violate, suspend, demonetize, remove, shadowban, terminate} We searched by all forms of keywords (e.g., for the word “censor”, it corresponds to censorship, censored, and censor.) to ensure any threads in r/youtube containing them would be filtered. After removing duplicates by each unique comment, 1807 submissions associated with 46115 individual comments were fetched. Although the dataset might involve discussions unrelated to content moderation phenomena, the motivation here is to tolerate type 1 error (false positive) where any data points mistakenly filtered by our search keywords as content moderation on YouTube can be collected together, making sure the dataset comprehensive enough as possible.

This is a research project exploration draft for one of the video postings of YouTuber Ziqi Li