Read the full article by Miss Lagsalot at YNOT.com

 

A user of Weibo, a Chinese social network, claims to have built a database that combs porn websites with facial recognition software, thus enabling users to identify whether any woman on social media has appeared in porn.

Yiqin Fu, a PhD candidate in political science at Stanford and a Twitter user, translated the tweets into English and posted on Twitter, saying that the original poster claims to have “successfully identified more than 100,000 young ladies from around the world, cross-referencing faces in porn videos with social media profile pictures. The goal is to help others check whether their girlfriends ever acted in those films.”

The tweet thread came from a Weibo user who claims to be based in Germany, and who says everything he’s done so far is legal, “because 1) he hasn’t shared any data, 2) he hasn’t opened up the database to outside queries, and 3) sex work is legal in Germany, where he’s based.”

Reactions on Twitter have been dubious—not only as to whether this database in fact exists (as no proof has been provided), but also as to whether its supposed users have girlfriends to check up on in the first place. When Vice’s Motherboard contacted the user for verification, they reported, “He said they will release ‘database schema’ and ‘technical details’ next week, and did not comment further.”

Miss Lagsalot is an adult industry hanger-on who’s been writing about her obsession with porn for over a decade.