Results 1 to 1 of 1

Thread: Twitter Hate Map Shows Us Our Darker Sides

Threaded View

  1. #1
    Senior Member SpAzZ's Avatar
    Join Date
    Apr 2013
    Location
    North Pole
    Posts
    370

    ‘Geography of Hate’ Project Shows Racist, Homophobic Tweet Concentrations Across the U.S.



    A map created by Humboldt State University students in California chronicles the amount of hate speech on Twitter and where it is geocoded to.

    The Twitter hate map, called the Geography of Hate, utilizes the geotagging feature on the social networking site combined with key terms. It was created using over 150,000 tweets from June 2012 to April 2013 which were sorted for those containing a racist, homophobic or anti-disability word. Researchers looked at the tweets pulled and decided whether or not the message was hateful.



    According to analysis, the majority of hate-filled tweets come from small towns or more rural areas. Homophobic tweets are more common along the border of Oklahoma and Texas whereas the hub for racism seems to lie somewhere in western Indiana.



    The projected was created as a follow-up to a study that mapped racial slurs on twitter in reaction to President Obama’s reelection.

    The interactive map lets you zoom in as far as the county level. You can also look at all hateful tweets, tweets by category, or just specific key words. However, the map doesn’t contain terms that are sexist or offensive to the mentally disabled.


    Twitter Hate Map Shows Us Our Darker Sides - SourceFed - SourceFed




    ------------------------------------------------------------------------------------------------
    different source




    If you’ve spent any time at all on Twitter, you know that it can be a great place for a variety of things – real-time news, celeb-watching, comedy, and the list goes on and on. But you also know that Twitter is full of the kind of homophobic and racist language that can make you physically recoil. Now, a group of researchers have developed an interactive map of all the hate speech that Americans are pumping out on a daily basis.

    The map was created by geography students at California’s Humboldt State University, the same group of people who brought us the post-election Twitter racism map back in November. Back then, they looked at racist tweets the focused on President Obama’s reelection and found that Mississippi and Alabama were the two hotbeds for such activity.

    “Rather than focusing just on hate directed towards a single individual at a single point in time, we wanted to analyze a broader swath of discriminatory speech in social media, including the usage of racist, homophobic and ableist slurs,” say the researchers.

    For instance, here’s the map of generally “homophobic” tweets, which are determined by the use of words like “dyke,” “fag,” “homo,” and “queer.”




    And here’s the map of racist tweets – those containing the words “Ni99er,” “chink,” “wetback,” “gook,” or “spick”:



    But to completely cut out this sort of uncertainty, the researchers manually read and coded each tweets to judge the sentiment, “in order to address one of the earlier criticisms of our map of racism directed at Obama.” This way, they could know, for sure, whether a tweet that contained the word “queer” was actually posted in a hateful context.


    Using DOLLY to search for all geotagged tweets in North America between June 2012 and April 2013, we discovered 41,306 tweets containing the word ‘******’, 95,123 referenced ‘homo’, among other terms. In order to address one of the earlier criticisms of our map of racism directed at Obama, students at Humboldt State manually read and coded the sentiment of each tweet to determine if the given word was used in a positive, negative or neutral manner. This allowed us to avoid using any algorithmic sentiment analysis or natural language processing, as many algorithms would have simply classified a tweet as ‘negative’ when the word was used in a neutral or positive way. For example the phrase ‘dyke’, while often negative when referring to an individual person, was also used in positive ways (e.g. “dykes on bikes #SFPride”). The students were able to discern which were negative, neutral, or positive. Only those tweets used in an explicitly negative way are included in the map.


    You can check out the full interactive map here, where you can zoom in to see specific concentrations of twitter hate speech.


    Source
    Last edited by SpAzZ; 05-16-2013 at 09:53 PM.

Similar Threads

  1. Porn More Popular Than Netflix, Amazon & Twitter Combined
    By You Know Me in forum World News Discussion
    Replies: 0
    Last Post: 05-07-2013, 03:55 PM
  2. Mac Dre Dont Hate The Player Hate The Game 4 2008 C4
    By DatNiccaDizz in forum Rap / Hip-Hop
    Replies: 0
    Last Post: 04-30-2013, 05:39 AM
  3. DRUGS - Destroy Rebuild Until God Shows
    By Albumbot in forum Rock / Indy
    Replies: 0
    Last Post: 04-16-2013, 01:00 AM
  4. Mac Dre - Dont Hate The Player Hate The Game 4
    By Albumbot in forum Rap / Hip-Hop
    Replies: 0
    Last Post: 04-16-2013, 01:00 AM
  5. With Open Force - Light Shows Me Who I Am
    By Albumbot in forum Dead Links
    Replies: 0
    Last Post: 04-16-2013, 01:00 AM

Bookmarks

Posting Permissions

  • You may not post new threads
  • You may not post replies
  • You may not post attachments
  • You may not edit your posts
  •  
◮ Top

SEO by vBSEO ©2011, Crawlability, Inc.