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We call this the Rage Gauge.

Every day, our algorithm collects a sample of almost a million tweets from Twitter, passes them through a series of steps to classify whether or not they contain anger or hate speech, determines the topic or target of that anger or hate, annotates significant changes with relevant headlines, and distills them all down into this final visualization.

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