Google revealed in a blog post that it is now using machine learning to document “hate crimes and events” in America.

They’ve partnered with liberal groups like ProPublica, BuzzFeed News, and the Southern Poverty Law Center (SPLC) to make information about “hate events” easily accessible to journalists. And now, there are troubling signs that this tool could be used to ferret out writers and websites that run afoul of the progressive orthodoxy.

In the announcement, Simon Rogers, data editor of Google News Labs, wrote:

Now, with ProPublica, we are launching a new machine learning tool to help journalists covering hate news leverage this data in their reporting. The Documenting Hate News Index — built by the Google News Lab, data visualization studio Pitch Interactive and ProPublica — takes a raw feed of Google News articles from the past six months and uses the Google Cloud Natural Language API to create a visual tool to help reporters find news happening across the country. It’s a constantly-updating snapshot of data from this year, one which is valuable as a starting point to reporting on this area of news. The Documenting Hate project launched in response to the lack of national data on hate crimes. While the FBI is required by law to collect data about hate crimes, the data is incomplete because local jurisdictions aren’t required to report incidents up to the federal government. All of which underlines the value of the Documenting Hate Project, which is powered by a number of different news organisations and journalists who collect and verify reports of hate crimes and events. Documenting Hate is informed by both reports from members of the public and raw Google News data of stories from across the nation.

On the surface, this looks rather innocuous. It’s presented by Google as an attempt to create a database of hate crimes — information that should be available with a quick Google search, it should be noted. But a quick glance at the list of partners for this project should raise some red flags:

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