Misogynist Creates Program That Outs Women in Porn and Links to Their Social Media

An unidentified Weibo user has alarmed the internet after announcing that he had created a program cross-referencing women’s faces on adult platforms against profile pictures on mainstream social media.

The user, who claimed to be living in Germany, said that he had “successfully identified over 100,000 young ladies” in porn “on a global scale,” Vice reported.

The post, which surfaced on Monday, has since gone viral in and out of Weibo, with one Stanford doctorate student providing a translation on Twitter.

According to the user, he developed the program “to have the right to know on both sides of the marriage.” This value of toxic masculinity is most commonly associated with the misogynist and incel, or involuntarily celibate, community of men who hold a deep contempt of women due to their feelings of entitlement for ownership of women and/or sex because of their “nice guy” behavior.

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The user later changed his explanation after drawing backlash, saying that the program aims to help women, regardless of their marital status, to find out if they made it to porn sites and subsequently file takedown requests.

For the record, the user’s claims could not be verified as of this writing, but comments suggesting that such technology is theoretically possible has sparked both excitement and concern.

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In 2017, for instance, Pornhub announced facial recognition features that make it easier for users to find their favorite stars. At the time, the adult video giant claimed its ability to detect 10,000 different actors.

“Artificial intelligence has quickly reached a fever pitch, with many companies incorporating its capabilities to considerably expedite antiquated processes. And that’s exactly what we’re doing with the introduction of our AI model, which quickly scans videos using computer vision to instantaneously identify pornstars,” said VP Corey Price.

“Now, users can search for a specific pornstar they have an affinity for and we will be able to retrieve more precise results. Our model will undoubtedly play a pivotal role moving forward too, especially considering that over 10,000 videos per day are added to the site.

“In fact, over the course of the past month alone, while we tested the model in beta, it was able to scan through 50,000 videos that have had pornstars added or removed on the video tags.”

Nearly two years later, it’s sensible to assume similar technologies have been created — and they’re probably even better.

The Weibo user said that the program, which took about half a year to develop, uses an algorithm to crawl porn sites and cross-reference data against images on Facebook, Instagram, Weibo, TikTok and more.

At the time of the announcement, he claimed that the software had combed through 100 terabytes of data, according to The Next Web.

Vice reported that he is expected to share the program’s “database schema” and “technical details” next week, but in a surprising turn of events, he claimed to be deleting it after “causing inconvenience” to so many people.

“I will delete this project. I have already executed the data delete command,” the user said in a new post. “More than 100 terabytes of data will be erased in half an hour.”

“My comments over the past few days have caused inconvenience to too many people and I feel deeply sorry.”

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