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Google Harnesses Machine Learning To Help Publishers Thwart Abusive Comments Online

23 February, 2017

Google Harnesses Machine Learning To Help Publishers Thwart Abusive Comments Online

Google and its early-stage incubator, Jigsaw, have launched a new tool that uses machine learning to help publishers combat online abuse.

With Perspective, Google is offering online publishers an API they can integrate into any of their platforms that facilitate user comments. Perspective taps a human-generated database of comments that have already been tagged as abusive or toxic. Through the API, publishers can connect their own comments with the hundreds of thousands on Google’s database, and Perspective then rates them based on how similar they are to those previously flagged. Perspective facilities corrections from users, too, so it should improve as it receives more feedback from people using it.

The Perspective API essentially provides the data, and publishers can elect to use this data in different ways. Comments could be flagged by publishers to be manually reviewed by moderators or by members of the community, alternatively, a publisher could decide to illustrate to a commenter in real time that what they’re writing is abusive:

Online abuse has been a problem since the advent of the web, with many publishers ultimately ditching comments sections due to the difficulties in policing them. Earlier this month, Amazon-owned IMDb shuttered its comments section after years of battling toxicity. The IMDb board has now resurfaced on Reddit (good luck with that).

While most comments sections have a community-led approach for flagging abuse, and many are already able to filter out comments that contain profanities, being able to tap a gargantuan database of pre-flagged comments should prove helpful. And as more publishers pick up on it, Perspective will gain access to additional comments, which should accelerate improvement. Perspective is also now part of Google’s open-source software library, TensorFlow, and its cloud Machine Learning platform.

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