<?xml version="1.0" encoding="UTF-8" standalone="yes"?><oembed><version><![CDATA[1.0]]></version><provider_name><![CDATA[Feminist Philosophers]]></provider_name><provider_url><![CDATA[https://feministphilosophers.wordpress.com]]></provider_url><author_name><![CDATA[magicalersatz]]></author_name><author_url><![CDATA[https://feministphilosophers.wordpress.com/author/magicalersatz/]]></author_url><title><![CDATA[New &#8216;Geography of Hate&#8217; project maps hate speech on&nbsp;Twitter]]></title><type><![CDATA[link]]></type><html><![CDATA[<p>A new project called &#8216;<a href="http://users.humboldt.edu/mstephens/hate/hate_map.html#">Geography of Hate</a>&#8216; gives detailed information about the geographic distribution of hate speech on Twitter. <a href="http://www.theverge.com/2013/5/11/4322098/geography-of-hate-maps-derogatory-terms-on-twitter">According to The Verge</a>:</p>
<blockquote>
<p id="paragraph0">the interactive map charts ten relatively common slurs across the continental US, either by general category or individually. Looking at the whole country, you&#8217;ll often see a mass of red or what the map&#8217;s creators call a &#8220;blue smog of hate.&#8221; Zooming in, however, patches appear over individual regions or cities; some may be predictable, while others are not. . .</p>
<p id="paragraph1">Unlike many other studies, for example, the tweets weren&#8217;t collected and analyzed algorithmically — a method that could accidentally collect non-derogatory uses of these terms. Instead, the team first searched through a year&#8217;s worth of geotagged tweets for words, then had a group of students at Humboldt State University look at each one. Only tweets they found explicitly negative went on the map: a derogatory use of the word &#8220;dyke&#8221; would be added, for example, but one reclaiming the term for a gay pride parade would not. In total, the map charts about 150,000 negative, slur-filled tweets.</p>
<p id="paragraph2">Since the map looks at only geotagged tweets, it&#8217;s not a pure representation of Twitter, but this is standard practice for such mapping. Hateful tweets are weighted by the total number of tweets in an area, so you&#8217;ll see the proportional number of slurs, not just areas with the largest number of Twitter users.</p>
</blockquote>
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<p>The information is incredibly interesting (and eye-opening!), the map is user-friendly, and there&#8217;s loads of information available about the study&#8217;s methodology. Go check it out!</p>
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