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Informer-Meformer CSCW Presentation
Informer-Meformer CSCW Presentation
Informer-Meformer CSCW Presentation
Informer-Meformer CSCW Presentation
Informer-Meformer CSCW Presentation
Informer-Meformer CSCW Presentation
Informer-Meformer CSCW Presentation
Informer-Meformer CSCW Presentation
Informer-Meformer CSCW Presentation
Informer-Meformer CSCW Presentation
Informer-Meformer CSCW Presentation
Informer-Meformer CSCW Presentation
Informer-Meformer CSCW Presentation
Informer-Meformer CSCW Presentation
Informer-Meformer CSCW Presentation
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Informer-Meformer CSCW Presentation

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Chih-Hui Lai's slides from the conference presentation of "Is it Really About Me: Message Content in Social Awareness Streams" at CSCW2010

Chih-Hui Lai's slides from the conference presentation of "Is it Really About Me: Message Content in Social Awareness Streams" at CSCW2010

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  • 1. Is It Really About Me? Message Content in Social Awareness Streams Mor Naaman, Jeffrey Boase, Chih-Hui Lai* 02/09/2010 CSCW Conference
  • 2. What is Twitter?
    • Popular social media service launched in 2007, with 19.1 millions user in Dec. 2009
    • Users posts short messages -- 140 characters, maximum
    • the “follow-ship” relationships
      • Asymmetric
  • 3.  
  • 4. Social Awareness Streams (SAS)
    • Characteristics of SAS
      • Public or semi-public nature of messages (not one-on-one)
      • Messages are short, consumed in streams
      • Online personal networks are articulated; networks structure communication
    • Twitter as a SAS model
      • By identifying Twitter as a type of communication system, results of this research can potentially be generalized to other similar platforms
  • 5. Research Questions
    • RQ1 : What types of messages are commonly posted and how does message type relate to other variables?
    • RQ2: What are the differences between users in terms of the types and diversity of messages that they usually post?
    • RQ3 : How are these differences between users’ content practices related to other user characteristics?
  • 6. Analysis: Qualitative + Quantitative Approaches
    • Why qualitative coding?
      • No existing studies have created a definitive classification of Twitter messages
      • Twitter is a new mode of communication
    • A grounded approach to derive message categories
      • See paper for details
  • 7. Coding Scheme Code Example(s) Information Sharing (IS) “ 15 Impressive and Beautiful Uses of WordPress <URL REMOVED>” Opinions/Complaints (OC) “ Go Aussie $ go!” “ Illmatic= greatest rap album ever” Statements and Random Thoughts (RT) “ The sky is blue in the winter here” ” I miss New York but I love LA...” Me now (ME) “ tired and upset” “ just enjoyed speeding around my lawn on my John Deere. Hehe :)” Other categories See paper for details
  • 8. Method
    • Data collection
      • Using Twitter’s (API) , randomly selected ‘active, personal users’, N = 350
      • Code 10 messages from each user
  • 9. RQ1: Message Categories on Twitter
      • me now ( ME , 41% of all messages coded), random thoughts ( RT, 25%), opinions/complaints ( OC , 24%), information sharing ( IS , 22%)
    Code Information Sharing (IS) Self Promotion (SP) Opinions/Complaints (OC) Statements and Random Thoughts (RT) Me now (ME) Question to followers (QF) Presence Maintenance (PM) Anecdote (me) (AM) Anecdote (others) (AO)
  • 10. RQ1: Message Type and Other Variables
    • Females are more likely to post “ me now ” messages (M=45% of a user’s messages) than males (M=37%) t(344)=3.12, p<0.005
    • 51% of mobile-posted messages are “ me now ” messages, compared to the 37% of “me now” messages posted from non-mobile applications
    • chi square=49.7, p<.0001
  • 11. RQ2: User Clusters by Message Type
    • Cluster analysis was used to identify two clusters of users:
      • Informers (20% of users), Meformers (80% of users)
    • Both informers and meformers engage in different types of message activity
  • 12. RQ3: How Users are Different?
    • Informers are better connected to friends and followers than meformers
    • Informers are more conversational: have a higher proportion of mentions of other users in their messages
    Informers Meformers Friends (medians) 131 61 Followers (medians) 112 42
  • 13. Summary of Key Findings
    • Four major categories of messages on Twitter:
      • me now (41% of all messages coded) , information sharing (22%) , opinions (24%), random statements (25%)
    • Gender and device use
      • Females are more likely to post “me now” messages
      • “ Me now” messages are likely to be sent by mobile devices
    • Users are of two kinds :
      • Informers (20% of users), Meformers (80% of users)
    • Informers are better connected to friends and followers than meformers
  • 14. Discussion and Implications
    • Meformers engage in self-focused messages
        • People may use Twitter to engage in different ways of self-expression, and through which initiate social interaction (phatic communion---see ICA paper)
    • Informers engage in use of mentions and have more social contacts
      • People may use Twitter to send/receive potentially valuable information directly, and through which maintain and build relationships
  • 15.
    • Thank you!
    • Any questions?
    • Mor Naaman, Jeffrey Boase, Chih-Hui Lai*
    • { mor, jboase, chihhui}@rutgers.edu

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