Transcript 30,000,000 Occupation Tweets A hashtag co-occurrence network analysis of information flows Jeff Hemsley, Katherine Thornton, Josef Eckert, Shawn Walker, Robert M.

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
INSPIRE: Tools, Models, and Innovation Platforms
for Research on Social Media
#Overview
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Occupy & Question
Literature & Data
Model & Findings
Next Steps?
#Occupy
9/17 to 10/15
• 21K+ Occupiers
• 2300+ cities
Meetup.com
#Occupy
Tweets: 300K to 1M a day
30,000,000 by end of 2011
#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?
#Literature
Organizing
• Tagging as finding and filtering mechanism
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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
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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.
Informing
• Information sharing
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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
• Particularly about events
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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
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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
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Community
Laniado, D. and Mika, P. Making sense of twitter. The Semantic Web–ISWC 2010, (2010), 470–485.
• Connect with like-minded individuals
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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
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Letierce, J., Passant, A., Breslin, J., and Decker, S. Understanding how Twitter is used to spread scientific messages. (2010).
#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
#Occupy #Tweets
account1: support from #occupySydney #solidarity
@OccupyChicago: The twentysix women in this policewagon say
hello! #occupychicago #occupyarrests
account2: RT@OccupyDenver Snow expected for
#OccupyDenver tonight, 4-8 inches. Donations of warm clothing,
etc would rock! #needsoftheoccupiers #ows
account3: #GeneralStrike to give everyone a chance to
#MoveYourMoney on #Nov5
account4: What happened to #OccupyOakland and the MSM
response to it is further proof we need to #OccupyTheMedia
with our own Internet media outlet.
#Expectations
• Hashtags as meta information for
organizing information
– Informing
• Location & Events
• Location & Utility
– Community
• Location & Location
• Location & Slogan
– Meta meta
• Meta & Location
• Meta & Slogan
#Expectations
meta
location
utility
slogan
event
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location
utility
slogan
event
#Data
• SoMeLab data set: 30,000,000 Occupy Tweets
• Tweets with 2 or more tags
• Oct 20 – Nov 5, 2011
Y: Co-occurrence Matrix
X1…Xn: tag by tag dummy
#Analysis
• Network Linear Regression
• Quadratic Assignment Procedure
– Proportion random trials
– Test for association
– T-test
Y: Co-occurrence Matrix
X1…Xn: tag by tag dummy
#Findings
meta
location
utility
slogan
event
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meta
location
utility
slogan
event
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#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
#Future #Directions
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3D Matrix -> meta & location & utility
Location: control for distance
Block Model
#GetAJob
So Me Lab
Social Media Lab @ UW
http:// somelab.net
Thank you
[email protected]