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Geo-information and Twitter Use
 

Geo-information and Twitter Use

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    Geo-information and Twitter Use Geo-information and Twitter Use Presentation Transcript

    • International Conference on e-CASE & e-Tech 2011, Tokyo, Japan
      Geo-information and Twitter Use
      An Analysis of Top Twitterians’ Profiles
      Yon SooLim,Jiyoung Park, Jiyoung Kim, Han Woo Park
      WCU WebometricsInstitutute
      Yeungnam University
      hanpark@ynu.ac.kr
    • Introduction
      The growth of social network sites (SNSs)
      Facebook, Myspace, Cyworld, Mixi, Orkut, etc
      Internet as social media:
      Interactive communication
      Expansion of social networks/Diffusion and sharing of information
      New SNSs platform, Twitter
      Micro-blogging service
      Since launched in 2006, Twitter currently has more than 100 million users across the world.
    • Introduction
      Twitter is becoming a major research topic in Internet studies, but it is still in a beginning stage.
      This study aims to explore a pattern of Twitter use regarding top twittarians.
      Specifically, it examines the relationships between twitter use and users’ profiles.
    • Theoretical arguments on SNSs use
      Self-disclosure
      A key factor SNSs use is sociability.
      Sociability is related to extraversion (human characteristic).
      Extraverted users are more willing to self-disclose than introverted ones.
      Also, they may be more active communicators in SNS environment.
      Knowledge gap (digital divide)
      Regarding new technology adoption and diffusion,
      Urban area > rural area
      Metropolitan area > small city area
    • Twitter Features
      Post and read short messages, limited to 140 characters.
    • Twitter Features
      Twitter profile can be modified by users.
      Some people disclose everything to the public.
      Other people hide themselves.
      User difference can be easily identified by the existence of Location.
      Also, the geo-information can indicate area size (#population) in which users lives.
    • Twitter Features
      Although the profiles are different, other features (#followers, #following, #tweets) are automatically provided by Twitter.com.
      Twitter use
      #followers: popularity
      #following: social networking
      #tweets: communication activity
    • Research Questions
      Regarding Twitter use,
      [Self-disclosure] RQ1. What are the differences between geographically identified users and non-identified users?
      [Digital divide] RQ2. What are the differences between great metropolitan area and small city area?
    • Method
      Data
      Source: Social Media Rank for Twitter from spinn3r (http://spinn3r.com/rank)
      Top 1,000 twitterian list were generated on June 13, 2009.
      964 twitterians were considered for this study
      36 twitter accounts were disappeared.
      Gathering user profiles
      Twitter scraper: an API-based program by WWI
      Location, #following, #follower, #tweet
      Manual coding
      (Metropolitan) area population for each user
      Reference: each country’s national statistics
    • Method
      Location info.
      Non-identified: 324 users
      Identified: 640 users
      Great metropolitan area: 317 users
      Other city area: 323 users
      (Criterion population#: 5,000,000: sample median)
      Analysis strategy
      Mann-Whitney U test
      Identify the relationships between geographic information and twitter use (#following, #follower, #tweet)
    • Results
      Geo-infoby country
      Great metro area
    • Results
    • Results
    • Results
    • Discussion
      This study examined the relationships between top Twitter users’ geo-information and their usage.
      Findings
      US citizens are dominated in top ranked twittarians.
      Users who provide location info. are more actively use of Twitter.
      Users in great metropolitan area have more popularity (#followers) than users in other city area.
      Users in other city area are more active to make social relationships (#following) and communicate with others (#tweets) than users in great metropolitan area.
    • Discussion
      From these findings, this study suggest:
      Self-disclosure can be a key factor in Twitter use.
      City size in which users lives can be a determinant of Twitter use.
      Regarding Twitter use, geographic digital divide and information dependency should be more examined in future research.
    • Thank you for your attention.