Live Rooms turned Instagram into a breeding ground for porn

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 Live Rooms turned Instagram into a breeding ground for porn

Meta (Facebook) founder and CEO Mark Zuckerburg said in an interview last weekend: “I find it hard to spend a lot of time on Twitter and not get upset. On the other hand, Instagram — this is a superpositive space.”

This is a contradictory statement when you consider that Instagram has become a platform that allows you to simultaneously post live messages from millions of subscribers — without proper control — creating an opportunity for indecent content to be streamed.

An investigation by Globes found that users are abusing the product's features and the lack of oversight of live broadcasts in the public video call interface (Live Rooms) to broadcast obscene and offensive content on the platform, including live streaming of pornographic content. Accounts that broadcast such content do so every day, and with no hindrance.

Broadcasters exploit two intrinsic weaknesses of Instagram and its parent company, Meta. The first relates to the — Meta itself controls the content broadcast by hosts in video chat conversations, but leaves the oversight of other participants in the conversation to the discretion of the hosts themselves.

The second flaw is built into Meta as a whole, and it recurs across all of its products and to its fullest knowledge: the existing ability to control violent, offensive, and pornographic content on the Meta platforms is not enough. The lack of content control is particularly acute in languages ​​other than English. . However, pornographic content is broadcast in Italian, Persian, Hindi and various Indian languages.

Meta claims that reports of live broadcasts with obscene content are given priority.

“Anyone can anonymously report a live broadcast on Instagram — whether it's a live broadcast hosted by one person, a shared broadcast between two people, or a room. Our systems prioritize. In addition, the company's proactive detection systems also work during live broadcasts and check for broadcasts that may violate the platform's community rules. 94% of them were detected using the platform's artificial intelligence technologies and before a violation was reported.

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