Posts Tagged ‘ U.S. ’

2014 Ford Mustang V8 GT Coupe The Black Edition


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U.S. based auto maker Ford has officially unveiled their latest limited edition model in the 2014 Ford Mustang V8 GT Coupe The Black Edition. This 2-door sports car is drenched in a jet black paint job, and the blacked-out theme continues all throughout. The 19-inch aluminum wheels have been finished off with black accents, and the entire interior is black as well. The Black edition Mustang also features a three-layer structured glass roof that blocks 90 percent of infrared rays along with 96 percent of ultraviolet rays. Now for the good stuff. This Mustang is packed with a 5.0-liter Coyote V8 engine that puts down 426 horsepower and 390 lb-ft of torque through a 6-speed automatic transmission (unfortunately no manual version is available). The vehicle is limited to just 40 units, will only be available in Japan, and will sell for roughly $50,000 when it releases on March 15th.

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Twitter ‘Hate Map’


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Students at Humboldt State University in California individually reviewed 150,000 geocoded tweets containing racist, homophobic, or otherwise offensive terms to build a “hate map” indicating where people in the U.S. are most bigoted. Or, at least, where they’re the most open about displaying their antisocial views. The picture doesn’t look good for the Eastern states, although admittedly the bulk of the population is there as well. Areas in Virginia, North Carolina, Texas, and Alabama show up bright red on the map, as do areas in more central states Indiana, Iowa, and Minnesota. The map is part of a larger project, called the Geography of Hate, by Humboldt State professor Dr. Monica Stephens. The data that forms the map comes from an analysis of every tweet posted between June 2012 and April 2013 that contained at least one of 10 designated “hate words,” including dyke, fag, chink, gook, wetback, and cripple.

But while the original list of tweets was generated by a machine, every single one of the 150,000 tweets containing one of the target words was individually examined by undergraduate students. As the project description states:

Because algorithmic sentiment analysis would automatically classify any tweet containing “hate words” as “negative,” this project relied upon the HSU students to read the entirety of tweet and classify it as positive, neutral or negative based on a predefined rubric. Only those tweets that were identified by human readers as negative were used in this analysis.

To protect the identity of potentially racist, homophobic, or otherwise bigoted Twitter users, the tweets were aggregated up to the county level, and counties with high levels of hate speech were colored red on the map. Areas with moderate levels — though still higher than the national average — are varying shades of blue, and unshaded areas were below the national average. Smaller towns seem to have a higher incidence of hate speech — in Virginia, for example, Palmyra is more hateful on Twitter than Richmond. And in Louisiana, New Orleans and Baton Rouge are less hateful than smaller towns nearby.