To Tweet or Not to Tweet: Factors Affecting the Intensity of Twitter Usage in Japan and the Online and Offline Sociocultural Norms

被引:0
|
作者
Wang, Shaojung Sharon [1 ]
机构
[1] Natl Sun Yat Sen Univ, Kaohsiung 80424, Taiwan
来源
关键词
Twitter; relational mobility; self-disclosure; relational commitment; Japan; anonymity; COMPUTER-MEDIATED COMMUNICATION; CROSS-CULTURAL DIFFERENCES; SOCIAL NETWORKING SITES; SELF-DISCLOSURE; VIRTUAL COMMUNITIES; PERSONALITY-TRAITS; UNITED-STATES; INTERNET; TRUST; COMMITMENT;
D O I
暂无
中图分类号
G2 [信息与知识传播];
学科分类号
05 ; 0503 ;
摘要
Japan's external cultural borders are less penetrable and the Japanese Internet is more culturally homogeneous. Yet, Twitter has encountered few barriers in entering the country, and Japan has the highest Twitter penetration rate in the world. This study explored the factors that influence the intensity of Twitter use in Japan through the dual lenses of socioecology and the characteristics of computer-mediated communication. It found that relational mobility and information-sharing intention were significant predictors of Twitter use intensity. Positive relationships between Twitter self-disclosure and relational commitment and between relational commitment and intensity of Twitter use were also supported. Whether Japan's offline social and cultural norms are also communicated in the virtual world is further explained.
引用
收藏
页码:2637 / 2660
页数:24
相关论文
共 29 条
  • [1] 'To tweet or not to tweet?' A comparison of academics' and students' usage of Twitter in academic contexts
    Knight, Charles G.
    Kaye, Linda K.
    INNOVATIONS IN EDUCATION AND TEACHING INTERNATIONAL, 2016, 53 (02) : 145 - 155
  • [2] Do Cancer Patients Tweet? Examining the Twitter Use of Cancer Patients in Japan
    Tsuya, Atsushi
    Sugawara, Yuya
    Tanaka, Atsushi
    Narimatsu, Hiroto
    JOURNAL OF MEDICAL INTERNET RESEARCH, 2014, 16 (05) : 110 - 117
  • [3] Factors influencing tweet purposes and citizen engagement with municipal Twitter accounts
    Stone, Jeffrey A.
    Can, S. Hakan
    ONLINE INFORMATION REVIEW, 2021, 45 (03) : 501 - 516
  • [4] A WEEK TO TWEET: FINDINGS FROM YOUNG PARE'S ONLINE COURSE FOR TWITTER NOVICES
    Stones, S. R.
    ANNALS OF THE RHEUMATIC DISEASES, 2018, 77 : 55 - 55
  • [5] Tweet like Trump: Political branding and Twitter usage among congressional candidates in 2020 and 2022
    Horan, Jennifer
    Brubaker, Jennifer
    King, Aaron
    Meinhold, Stephen
    SOCIAL SCIENCE QUARTERLY, 2024, 105 (05) : 1806 - 1820
  • [6] Would Your Tweet Invoke Hate on the Fly? Forecasting Hate Intensity of Reply Threads on Twitter
    Dahiya, Snehil
    Sharma, Shalini
    Sahnan, Dhruv
    Goel, Vasu
    Chouzenoux, Emilie
    Elvira, Victor
    Majumdar, Angshul
    Bandhakavi, Anil
    Chakraborty, Tanmoy
    KDD '21: PROCEEDINGS OF THE 27TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY & DATA MINING, 2021, : 2732 - 2742
  • [7] A Novel Online Social Network (Twitter) Message (Tweet) Classifier based on Message Diffusion in the Network
    Giri, Mr.
    Jyothi, S.
    Vorugunti, Chandra Sekhar
    2017 9TH INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS AND NETWORKS (COMSNETS), 2017, : 409 - 410
  • [8] Factors Increasing Tweet Engagement Rate for the Journal of Vascular and Interventional Radiology Twitter Feed
    Wadhwa, Vibhor
    Devgan, Arushi
    Patel, Mikin V.
    Bourgeois, Austin C.
    Ahmed, Osman
    JOURNAL OF VASCULAR AND INTERVENTIONAL RADIOLOGY, 2018, 29 (07) : 1057 - 1059
  • [9] FACTORS INCREASING TWEET ENGAGEMENT RATE FOR THE GASTROINTESTINAL ENDOSCOPY (GIE) JOURNAL TWITTER FEED
    Wadhwa, Vaibhav
    Hussain, Ishtiaq
    Bilal, Mohammad
    Wallace, Michael B.
    Berzin, Tyler M.
    Chiang, Austin L.
    GASTROINTESTINAL ENDOSCOPY, 2020, 91 (06) : AB533 - AB533
  • [10] In Search of the Perfect Tweet: Using Neural Networks to Determine Factors Influencing Engagement Rate of Pathology Twitter Posts
    Booth, Adam
    Gardner, Jerad
    Mukhopadhyay, Sanjay
    Cox, Brian
    Gonzalez, Raul
    MODERN PATHOLOGY, 2020, 33 (SUPPL 2) : 520 - 521