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30,000,000 Occupation Tweets A hashtag co-occurrence network analysis of information flows

Preliminary “Findings”. 30,000,000 Occupation Tweets A hashtag co-occurrence network analysis of information flows. Jeff Hemsley , Katherine Thornton, Josef Eckert, Shawn Walker, Robert M. Mason & Karine Nahon. NSF Award #1243170

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30,000,000 Occupation Tweets A hashtag co-occurrence network analysis of information flows

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  1. Preliminary “Findings” 30,000,000 Occupation TweetsA hashtag co-occurrence network analysisof information flows Jeff Hemsley, Katherine Thornton, Josef Eckert, Shawn Walker, Robert M. Mason & KarineNahon

  2. NSF Award #1243170 INSPIRE: Tools, Models, and Innovation Platforms for Research on Social Media

  3. #Overview Occupy & Question Literature & Data Model & Findings Next Steps?

  4. #Occupy 9/17 to 10/15 • 21K+ Occupiers • 2300+ cities Meetup.com

  5. #Occupy Tweets: 300K to 1M a day 30,000,000 by end of 2011

  6. #Question Are there hashtag co-occurrence patterns indicative of organizing, informing and community building in the Occupy Twitter stream from October 19th to November 5th?

  7. #Literature Organizing Informing Community • Tagging as finding and filtering mechanism • Huang, J., Thornton, K.M., and Efthimiadis, E.N. Conversational tagging in twitter. Proceedings of the 21st ACM conference on Hypertext and hypermedia, ACM (2010), 173–178. • Mechanism of organizing information • Chang, H.C. A new perspective on Twitter hashtag use: Diffusion of innovation theory. Proceedings of the American Society for Information Science and Technology 47, 1 (2010), 1–4. • Information sharing • Java, A., Song, X., Finin, T., and Tseng, B. Why we twitter: understanding microblogging usage and communities. Proceedings of the 9thWebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis, ACM (2007), 56–65 • Particularly about events • Letierce, J., Passant, A., Breslin, J., and Decker, S. Understanding how Twitter is used to spread scientific messages. (2010). • Injecting messages into an information topic stream • Huang, J., Thornton, K.M., and Efthimiadis, E.N. Conversational tagging in twitter. Proceedings of the 21st ACM conference on Hypertext and hypermedia, ACM (2010), 173–178. • Letierce, J., Passant, A., Breslin, J., and Decker, S. Understanding how Twitter is used to spread scientific messages. (2010). • Community building mechanism • Laniado, D. and Mika, P. Making sense of twitter. The Semantic Web–ISWC 2010, (2010), 470–485. • Connect with like-minded individuals • Java, A., Song, X., Finin, T., and Tseng, B. Why we twitter: understanding microblogging usage and communities. Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis, ACM (2007), 56–65. • Discussion participation & network enhancing • Letierce, J., Passant, A., Breslin, J., and Decker, S. Understanding how Twitter is used to spread scientific messages. (2010).

  8. #Literature • 140-character limit => expect limited or no meta-data • Huang, J., Thornton, K.M., and Efthimiadis, E.N. Conversational tagging in twitter. Proceedings of the 21st ACM conference on Hypertext and hypermedia, ACM (2010), 173–178. • Occupy tweets with multiple hashtags? • “Tweak the Tweet”: hashtags as metadata • Starbird, K., and J. Stamberger. 2010. “Tweak the Tweet: Leveraging Microblogging Proliferation with a Prescriptive Syntax to Support Citizen Reporting.” • Target interest sub-sets with multiple tags

  9. #Occupy #Tweets account1: support from #occupySydney#solidarity @OccupyChicago: The twentysix women in this policewagon say hello! #occupychicago#occupyarrests account2: RT@OccupyDenver Snow expected for #OccupyDenvertonight, 4-8 inches. Donations of warm clothing, etc would rock! #needsoftheoccupiers #ows account3: #GeneralStriketo give everyone a chance to #MoveYourMoneyon #Nov5 account4: What happened to #OccupyOaklandand the MSM response to it is further proof we need to #OccupyTheMediawith our own Internet media outlet.

  10. #Expectations • Hashtags as meta information for organizing information • Informing • Location & Events • Location & Utility • Community • Location &Location • Location & Slogan • Meta meta • Meta & Location • Meta & Slogan

  11. #Expectations

  12. #Data Y: Co-occurrence Matrix X1…Xn: tag by tag dummy • SoMeLab data set: 30,000,000 Occupy Tweets • Tweets with 2 or more tags • Oct 20 – Nov 5, 2011

  13. #Analysis Y: Co-occurrence Matrix X1…Xn: tag by tag dummy • Network Linear Regression • Quadratic Assignment Procedure • Proportion random trials • Test for association • T-test

  14. #Findings

  15. #Findings #Issues • Meta: OWS is a hub and tied to everything • Volume of OWS: signaling community • Not so distributed? • OWS Power Law: other news-like social attention? • Fire-bomb / noise / message injection

  16. #Future #Directions 3D Matrix -> meta & location & utility Location: control for distance Block Model #GetAJob

  17. So Me Lab S ocial Media Lab @ UW http:// so melab.net Thank you jhemsley@uw.edu

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