Researchers at Humboldt State University created a heat map of the United States showing where the largest volume of bigoted tweets were. The map tracks homophobic, racist and disability slurs used in a negative context.
The map allows you to sort through and choose categories of slurs and specific slurs used. Each subcategory of slur has its own unique heat map. In addition, every specific term has an unique map as well.
Tweets from June 2012 to April 2013 were used to compile this map. An algorithm used sentiment analysis to identify possible negative tweets. These tweets were then reviewed by humans using a rubric to identify whether they were meant to be negative. The resulting collection of tweets identified as negative by humans was used to generate the hate heat map.
Stats for Social Media Hate Maps
Trending: Older & Average
Research: 2,824 clicks in 154 w
Interest: 1.7 minutes
Concept: Heat Map
Related: 73 examples / 56 photos
Segment: Neutral, 18-55
Comparison Set: 27 similar articles, including: homophobia slandering sites, anti-racist art, and heat sensitive mobiles.
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