# Hiding "toxic" messages using the Google Perspective API?

**URL:** <https://meta.discourse.org/t/hiding-toxic-messages-using-the-google-perspective-api/57833>\
**Category:** General\
**Created:** [2017年二月23日 13:47 UTC](https://meta.discourse.org/t/hiding-toxic-messages-using-the-google-perspective-api/57833 "2017-02-23T13:47:50Z")\
**Posts on this page:** 1\
**Showing post:** 10

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**Author:** ![erlend\_sh](https://sea3.discourse-cdn.com/meta/user_avatar/meta.discourse.org/erlend_sh/32/119475_2.png) [@erlend\_sh](https://meta.discourse.org/u/erlend_sh)\
**Post date:** [2017年六月13日 15:23 UTC](https://meta.discourse.org/t/hiding-toxic-messages-using-the-google-perspective-api/57833/10 "2017-06-13T15:23:49Z")

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Continued here:

> [@Pre-emptively warning a contributor about the toxicity of their post](https://meta.discourse.org/t/pre-emptively-warning-a-contributor-about-the-toxicity-of-their-post/60357):
>
> I was perusing through the Discourse feature and moderation lists while thinking about various enhancements that could be made to the platform. I stumbled across [this post](https://meta.discourse.org/t/measures-taken-against-bad-behaviour-in-league-of-legends/26084/3) that was focused on how implementing various moderation features to the League of Legends chat dropped the number of offenders down 40-50% and generally improved the chat space. This got me thinking - could you use machine learning to proactively moderate a post? As a user is typing, their text could be analyzed for toxicity…

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