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Collaborative Organizations and Social Media

 

I am running a small conference today titled ‘Collaborative Organizations and Social Media’. The program features invited speakers Nicole Ellison (UMich), George Ritzer (UMD), Peter Gloor (MIT), and Jennifer Earl (University of Arizona). Further details of the program can be found at http://digitalcommons.bowdoin.edu/cosm/2013/program/. Slides of individual talks can be downloaded via the ‘Download’ button after you select individual papers.

We are also live streaming the event at http://new.livestream.com/accounts/3511964/events/2003155. Please feel free to participate in the event and to join the discussion via our Twitter hashtag of #2013COSM.

We will also be publishing videos of the talks on our proceedings webpage shortly.

In my research of large Twitter data sets, I have been regularly studying trending topics. Most of the time, trending topics encourage monologic behavior on Twitter. For example, see the relatively monologic network graph below of #ThreeWordsSheWantsToHear (a hashtag which warrants serious  critical, dialogic engagement of gender issues).

#ThreeWordsSheWantsToHear Network Graph

I have been investigating the #accidentalracist hashtag from this past Monday (April 8, 2013). The hashtag formed in response to the new Brad Paisley and LL Cool J song titled ‘Accidental Racist’ (video below).

The Huffington Post labeled the song ‘a controversial one, to say the least’ and features the singer donning a Confederate flag. Forbes observed that the song set ‘off a firestorm on social media’.

Given the controversial nature of this hashtag, I was curious whether the tag was encouraging monologic or more dialogic behavior. It turns out that the 1504 tweets I sampled (from 9:56 p.m. to 11:18 p.m. UTC on April 8, 2013) actually exhibited far more interaction than one would expect in a trending topic-based network. Take a look at the social network analysis map below and let me know your thoughts!

#accidentalracist social network map

#accidentalracist social network map

 

And, as @sociographie, mentioned in a Twitter chat we had, it is important not to solely prioritize relationships in a network graph of trending topics. That is why I have retained isolates. Below, you can also find some aggregate information on the tweets.

Top URLs in Tweet in Entire Graph Entire Graph Count
http://thehairpin.com/2013/04/accidental-racist 28
http://bit.ly/10B2ZPs 21
http://www.theatlantic.com/entertainment/archive/2013/04/brad-paisley-and-ll-cool-j-show-how-not-to-sing-about-the-confederate-flag/274799/ 17
http://ow.ly/jS1zt 10
http://www.youtube.com/watch?v=uC6Ev5o5r7Y 5
http://mashable.com/2013/04/08/brad-paisley-accidental-racist/ 4
http://jezebel.com/brad-paisleys-accidental-racist-song-is-terrible-ho-471297837 3
http://rapgenius.com/Brad-paisley-accidental-racist-lyrics 3
http://www.youtube.com/watch?v=xvgCvT9xX7A 2
http://www.youtube.com/watch?v=a_qbt1EVuw8 2
Top Domains in Tweet in Entire Graph Entire Graph Count
thehairpin.com 28
bit.ly 27
youtube.com 23
theatlantic.com 17
ow.ly 13
youtu.be 10
j.mp 4
mashable.com 4
tinyurl.com 4
jezebel.com 3
Top Hashtags in Tweet in Entire Graph Entire Graph Count
accidentalracist 1493
llcoolj 26
bradpaisley 23
intentionalbeatdown 17
thewalkingdead 7
negrobush 5
occupy 5
ows 5
oppression 5
llcooljoke 4