Inter  and Intra-Language Engagement on Twitter in Arab Spring Hashtag Communities
Upcoming SlideShare
Loading in...5
×
 

Inter and Intra-Language Engagement on Twitter in Arab Spring Hashtag Communities

on

  • 2,635 views

Paper by Axel Bruns, Jean Burgess and Tim Highfield, presented at The Arab Spring: A Symposium on Social Media and the Politics of Reportage, at Swinburne University, Melbourne (8 June 2012).

Paper by Axel Bruns, Jean Burgess and Tim Highfield, presented at The Arab Spring: A Symposium on Social Media and the Politics of Reportage, at Swinburne University, Melbourne (8 June 2012).

Statistics

Views

Total Views
2,635
Views on SlideShare
2,348
Embed Views
287

Actions

Likes
1
Downloads
19
Comments
0

8 Embeds 287

http://mappingonlinepublics.net 210
http://snurb.info 71
http://www2.fundacioninlea.org 1
http://translate.googleusercontent.com 1
https://mnps.blackboard.com 1
http://webcache.googleusercontent.com 1
https://twitter.com 1
http://www.snurb.info 1
More...

Accessibility

Categories

Upload Details

Uploaded via as Microsoft PowerPoint

Usage Rights

CC Attribution-NonCommercial-ShareAlike LicenseCC Attribution-NonCommercial-ShareAlike LicenseCC Attribution-NonCommercial-ShareAlike License

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Processing…
Post Comment
Edit your comment

Inter  and Intra-Language Engagement on Twitter in Arab Spring Hashtag Communities Inter and Intra-Language Engagement on Twitter in Arab Spring Hashtag Communities Presentation Transcript

  • Inter- and Intra-LanguageEngagement on Twitterin Arab Spring Hashtag CommunitiesAssoc. Prof. Axel Bruns, Dr. Jean Burgess, & Dr. Tim HighfieldARC Centre of Excellence for Creative Industries and InnovationQueensland University of Technology, Brisbane, Australiaa.bruns@qut.edu.au – je.burgess@qut.edu.au – t.highfield@qut.edu.au@snurb_dot_info - @jeanburgess - @timhighfieldhttp://mappingonlinepublics.net/ http://mappingonlinepublics.net/
  • The Arab Spring and Twittero Twitter analysis: o Tracking of key hashtags (#egypt, #libya) throughout 2011 o #egypt: 23 Jan. to 30 Nov. – 7.48m tweets, 445,000 unique users o #libya: 16 Feb. to 30 Nov. – 5.27m tweets, 476,000 unique users o Language differentiation: o Fewer than 10 characters above ASCII 127  tweet is ‘Latin’ o More than 10 characters above ASCII 127  tweet is ‘non-Latin’ o User groups: ‘Latin’ (< 33%), ‘mixed’ (33-66%), ‘non-Latin’ (> 66%) o User differentiation: o Lead users: top 1% most active users o Highly engaged users: next 2-10% active users o Least active users: bottom 90% active users http://mappingonlinepublics.net/
  • #egypt11 Feb.: Mubarak Resigns
  • #egypt
  • #egypt
  • #egypt
  • #libya21 Feb.: first reports of unrest 23 Aug.: Bab al-Azizia stormed
  • #libya
  • #libya
  • Comparing Different Phaseso Twitter activity patterns change over time: o #egypt: 1-28 Feb. vs. 15 June to 15 Sep. o #libya: 16 Feb. to 15 Mar. vs. 1 Aug. to 30 Sep. o Early media attention vs. later developmentso Differences in Latin / mixed / non-Latin tweeting?o Differences between most / least active users?o Interactions between language groups? http://mappingonlinepublics.net/
  • #egypt1-28 Feb. 2011 15 June to 15 Sep. 2011
  • #egypt: @mentions1-28 Feb. 2011 15 June to 15 Sep. 2011
  • #egypt: @mentions1-28 Feb. 2011 15 June to 15 Sep. 2011
  • #libya16 Feb. to 15 Mar. 2011 1 Aug. to 30 Sep. 2011
  • #libya: @mentions16 Feb. to 15 Mar. 2011 1 Aug. to 30 Sep. 2011
  • #libya: @mentions16 Feb. to 15 Mar. 2011 1 Aug. to 30 Sep. 2011
  • Findingso Clear differences between #egypt and #libya: o #egypt: o Significant Latin participation at first, then strong shift towards non-Latin o May indicate fading of #25Jan hashtag, shift to #egypt for ongoing discussion o Lead users especially likely to send non-Latin tweets o More mixed-language users in lead groups o #libya: o Latin-dominated throughout, small shift to non-Latin o May point to limited domestic use of / access to Twitter o Lead users especially likely to send Latin tweets o Both: o Latin users most likely to engage with non-hashtag users (e.g. news organisations, other external sources) o Non-Latin users (in #egypt) equally engaging with non-hashtag users and mixed-language users o To do: o What URLs are being shared in each case? o Are there differences between Latin / non-Latin users? o Are there differences between more / less active users? http://mappingonlinepublics.net/
  • http://mappingonlinepublics.net/@snurb_dot_info@jeanburgess@_StephenH@DrTNitins@timhighfield@cdtavijit http://mappingonlinepublics.net/