Google uses automated learning techniques to help journalists track hate crime and hate speech

Hate crime is on the rise in the United States, and to help ease the tense situation, Google has released the new Documenting Hate News Index to track news of hate crimes and hate speech.

The tool was created in collaboration with ProPublica, to identify and archive hate crime news, and then extract key data from the news to build a database on hate crime and hate speech in America.

Google revealed that the new tool accomplishes tracking and indexing tasks through automated learning techniques. Artificial Intelligence is tuned to comb all articles containing key terms such as "hate", "terrorism", "hate crime" ... and then This is the use of natural language processing protocols, where this part tries to understand the text and whether it is actually talking about hate crimes and that the crime in question has never been archived in the database.

The tool was created to help journalists document and archive all hate crimes, so that searching within this database is easy. It is very difficult for journalists to do it manually and document all the crimes that are increasingly being seen in the United States.