Instagram unveils new AI-powered anti-cyberbullying feature | Articles | Chief Technology Officer

Instagram is now using machine learning to detect bullying in image uploads

The social media platform has today launched two new anti-bullying tools that will aim to keep its young users safe from online harassment.

The move will prevent users from posting defamatory notes as photos or images containing obscene, bullying or harassment-inducing content.

Instagram is taking a stand against cyber-bullying.

The AI tool also detects bullying in captions and comments, including attacks on someone's appearance or well-being, according to an Instagram spokesperson.

They are using a machine learning technology which would proactively detect bullying in the captions or the photos and will be sent directly to the community operations team to review. And all of them have tried to their bit to control it. Facebook owned photo sharing app Instagram's head Adam Mosseri has admitted that more work needs to be done in order to limit bullying and spread kindness on the platform.

"It will also help us protect our youngest community members since teens experience higher rates of bullying online than others", Mosseri added.

The feature is expected to roll across the social globe in just a few weeks.

Starting Tuesday, the bullying comment filter will also apply to Live Videos on Instagram. As well, the company has introduced a new camera effect that it says will help "spread kindness" among users, at least when they're using the Stories feature.

This feature works in the same vein to the anti-bullying comment filter that was rolled out earlier this year for Feed, Explore and Profile.

"It's a crucial next step since many people who experience or observe bullying don't report it", he added.

One can get the camera effect automatically by following Maddie. Users are encouraged to tag a friend when using it.

If your camera is in the selfie mode, you will see the filter filling the screen with hearts. The technology that enables such detection was surveyed a year ago by Wired, which highlighted the company's inner attempts at machine-learning comment filters.

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