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Geo-information and Twitter Use


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Geo-information and Twitter Use

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