ProPublica, Google News Lab, and a data visualization group, Pitch Interactive, launched the Documenting Hate News Index on Friday to address that lack. The searchable, visualizable database analyzes Google News stories dating back to February 2017 and detects information on events, locations, and people. From Google News Lab’s introduction to the tool:
The Documenting Hate News Index…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 the news happening all over the country…
The new Index will help make this data easier to understand and visualize. It is one of the first visualizations to use machine learning to generate its content using the Google Natural Language API, which analyses text and extracts information about people, places, and events. In this case, it helps reporters by digging out locations, names and other useful data from the 3,000-plus news reports — the feed is updated every day, and goes back to February 2017.
The feed is generated from news articles that cover events suggestive of hate crime, bias or abuse — such as anti-semitic graffiti or local court reports about incidents. And we are monitoring it to look out for errant stories that slip in, i.e., searches for phrases that just include the word “hate” — it hasn’t happened yet but we will be paying close attention.
Users can filter news reports by using the tool’s algorithmically generated person or location keywords, or can search with keywords of their own. The tool is available now here.
The tool is a part of the Documenting Hate project, launched this past January and spearheaded by ProPublica. The initiative, inspired in part by the nationwide Electionland reporting project, tracks hate and bias crime throughout the U.S. and is supported by a coalition of news and digital media organizations, universities, and civil rights groups like Southern Poverty Law Center. It has partnered with numerous local news outlets to write stories on incidents in their regions.
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