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

    • Is It Really About Me? Message Content in Social Awareness Streams Mor Naaman, Jeffrey Boase, Chih-Hui Lai* 02/09/2010 CSCW Conference
    • 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
    •  
    • 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
    • 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?
    • 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
    • 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
    • Method
      • Data collection
        • Using Twitter’s (API) , randomly selected ‘active, personal users’, N = 350
        • Code 10 messages from each user
    • 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)
    • 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
    • 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
    • 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
    • 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
    • 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
      • Thank you!
      • Any questions?
      • Mor Naaman, Jeffrey Boase, Chih-Hui Lai*
      • { mor, jboase, chihhui}@rutgers.edu