Published: Fri, October 12, 2018
Electronics | By Kelly Massey

Instagram ramps up battle against bullying

Instagram ramps up battle against bullying

Instagram is taking action against bullying on its platform.

On Tuesday, the company said it is starting to use new machine learning technology to proactively detect bullying in photos and captions.

If a human moderator deems the photo is in breach of the platform's community guidelines, the photo will be removed, and the poster will be notified of its deletion and told why.

Recently, Mosseri replaced Instagram co-founders Kevin Systrom and Mike Krieger as the new head who abruptly announced their departure in September.

Instagram is also expanding its bullying comment filter to live videos and launching a "kindness" camera effect that it hopes will help spread positivity on the platform.

An Instagram spokesperson said its bullying classifier detects "attacks on a person's appearance or character, as well as threats to a person's well-being or health" in a photo.

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Rolling the technology out across the entire social network is expected to take a few weeks.

This move seems to follow the company's announcement earlier this year that it would filter out bullying comments on its site through a feature that detects and blocks these comments altogether.

Instagram has partnered with Maddie Ziegler, a New York Times bestselling author, dancer and actor to launch a kindness camera effect. Do you agree with the use of artificial intelligence in wiping out inappropriate comments or photos on the social media app? The rear camera shows "kindness" in multiple languages.

Users will get "Hide Offensive Comments" feature in the Settings within the app that will allow them to filter out words offensive comments or words, etc as well as auto-filter the posts containing the most reported words or phrases.

Instagram will also roll out a bullying comment filter on Live videos, which it already has done for the Feed, Explore and Profile sections. This also includes comparison photos wherein users could post split-screen photos comparing someone in a negative way.

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