SalemNews.com, Salem, MA

Nation/World

May 18, 2013

Map of hateful tweets shows hotspots

KANSAS CITY, Mo. — Tweets containing hateful words are coming in larger proportions from people living in the eastern half of the United States, according to a new map that tracked hate speech on Twitter.

“How much hate people are broadcasting online is a little shocking and upsetting,” said Monica Stephens, assistant professor of geography at Humboldt State University in Arcata, Calif.

The map is based on tweets that were scanned for hate words that are homophobic, racist or demeaning to people with disabilities.

“I think the words themselves are shocking when you realize how much volume there is,” Stephens added. “We were dealing with over 150,000 times that these words were used in slightly under 10 months.”

The map uses data from the DOLLY Project at the University of Kentucky, which provides an archive of tweets that have been tagged with a location. The tweets were from June 2012 to April 2013.

Stephens had the help of three geography students — Amelia Egle, a junior; Miles Ross, a senior; and Matt Eiben, a graduate student — to analyze the tweets and build the map.

The students read them to determine whether they were hateful, positive or neutral.

“It was hard sometimes to make that decision,” Egle said. “There were definitely some racist and shocking statements that you aren’t expecting at first.”

Growing up in California, Ross said he heard racism a lot, but mostly in closed circles.

“It was surprising they would actually say these words to begin with and also have a spacial location attached to it,” he said.

Geotagged tweets are a small percentage of total Twitter traffic. People have to opt in to provide the geographic location from where they are tweeting. But those that are geotagged provide a good representation of what is being tweeted, Johnson said.

Eiben joined the project after Egle and Ross had been working on it for several months to help out with the technical end and creating the visualization of the data.

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