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Social Media Celebrities and Para-social Relationships: The Chinese Context

  • Meng TaoEmail author
  • Hamza Kaka Abdul Wahab
  • Jashim Khan
Conference paper
Part of the Springer Proceedings in Business and Economics book series (SPBE)

Abstract

The purpose of this study is to examine the role of social media celebrity plays in developing para-social relationship with their audience. The research examines this relationship by investigating (a) the mediating role of numbers of hours enthusiast spent interacting with celebrities and (b) the moderating role of celebrity identification in the relationship between social media celebrity effect and para-social relationship. An online survey gathered 527 response from female students between the ages of 18–30 years who follow social media celebrities. Result shows that hours spent online with social media celebrities mediate the relationship between the effect of social media celebrities and para-social relationships. Moderated mediation reveals that the indirect path (hours spent with social media celebrity online) through which social media celebrities exert their effect on para-social relationships is dependent on the enthusiast identification with social media celebrities. This paper makes available important findings for marketers, governments and academics. Businesses may make use of the role play by social media celebrities in influencing women and as a result use them to promote their products. Governments can also use the celebrities to pass on information to their followers on matters regarding social vices. The role of time spent online with social media celebrity and identification on para-social relationships are discussed together with future research directions.

Keywords

Social media celebrities Para-social relationship Identification 

References

  1. 1.
    Chan YY (2011) Chinese journalists circumvent government’s tight restrictions. Nieman reportsGoogle Scholar
  2. 2.
    Redmond S, Holmes S (eds) (2007) Stardom and celebrity: a reader. Sage, Los AngelesGoogle Scholar
  3. 3.
    Eastin MS, LaRose R (2005) Alt.support: modeling social support online. Comput Hum Behav 21:977–992.  https://doi.org/10.1016/2004.02.024CrossRefGoogle Scholar
  4. 4.
    Xie B (2008) The mutual shaping of online and offline social relationships. Inf Res Int Electron J 13(3):18Google Scholar
  5. 5.
    Horton D, Strauss A (1957) Interaction in audience-participation shows. Am J Sociol 62(6):579–587.  https://doi.org/10.1086/222106CrossRefGoogle Scholar
  6. 6.
    Hartmann T, Goldhoorn C (2011) Horton and Wohl revisited: exploring viewers’ experience of parasocial interaction. J Commun 61(6):1104–1121.  https://doi.org/10.1111/j.14602466.2011.01595CrossRefGoogle Scholar
  7. 7.
    Giles DC (2002) Parasocial interaction: a review of the literature and a model for future research. Media Psychol 4(3):279–305.  https://doi.org/10.1207/S1532785XMEP0403_04CrossRefGoogle Scholar
  8. 8.
    Brown WJ, de Matviuk MAC (2010) Sports celebrities and public health: Diego Maradona’s influence on drug use prevention. J Health Commun 15:358–373CrossRefGoogle Scholar
  9. 9.
    Brown WJ, Basil MD, Bocarnea MC (2003) The influence of famous athletes on health beliefs and practices: Mark McGwire, child abuse prevention, and androstenedione. J Health Commun 8:41–57CrossRefGoogle Scholar
  10. 10.
    Kosenko KA, Binder AR, Hurley R (2016) Celebrity influence and identification: a test of the Angelina effect. J Health Commun 21(3):318–326.  https://doi.org/10.1080/10810730.2015.1064498CrossRefGoogle Scholar
  11. 11.
    Wen N (2017) Celebrity influence and young people’s attitudes toward cosmetic surgery in Singapore: the role of parasocial relationships and identification. Int J Commun 11:19Google Scholar
  12. 12.
    Latane B (1981) The psychology of social impact. Am Psychol 36:343–365.  https://doi.org/10.1037/0003-06636.4.343CrossRefGoogle Scholar
  13. 13.
    Sundar SS, Limperos AM (2013) Uses and grats 2.0: new gratifications for new media. J Broadcast Electron Media 57(4):504–525.  https://doi.org/10.1080/08838151.2013.845827CrossRefGoogle Scholar
  14. 14.
    Kelman HC (1958) Compliance, identification, and internalization three processes of attitude change. J Confl Resolut 2(1):51–60.  https://doi.org/10.1177/002200275800200106CrossRefGoogle Scholar
  15. 15.
    Hoffner C (1996) Children’s wishful identification and parasocial interaction with favorite television characters. J Broadcast Electron 40(3):389–402.  https://doi.org/10.1080/08838159609364360CrossRefGoogle Scholar
  16. 16.
    Hoffner CA, Levine KJ, Toohey RA (2008) Socialization to work in late adolescence: the role of television and family. J Broadcast Electron Media 52(2):282–302.  https://doi.org/10.1080/08838150801992086CrossRefGoogle Scholar
  17. 17.
    Cheney G (1983) The rhetoric of identification and the study of organizational communication. Q J Speech 69(2):143–158.  https://doi.org/10.1080/00335638309383643CrossRefGoogle Scholar
  18. 18.
    Cohen J (2001) Defining identification: a theoretical look at the identification of audiences with media characters. Mass Commun Soc 4(3):245–264CrossRefGoogle Scholar
  19. 19.
    Chia SC, Poo YL (2009) Media, celebrities, and fans: an examination of adolescents’ media usage and involvement with entertainment celebrities. J Mass Commun Q 86(1):23–44.  https://doi.org/10.1177/107769900908600103CrossRefGoogle Scholar
  20. 20.
    Hargittai E, Litt E (2011) The tweet smell of celebrity success: explaining variation in Twitter adoption among a diverse group of young adults. New Media Soc 13(5):824–842.  https://doi.org/10.1177/1461444811405805CrossRefGoogle Scholar
  21. 21.
    Bocarnea MC, Brown WJ (2007) Celebrity-persona parasocial interaction scale. In: Reynolds RA, Woods R, Baker JD (eds) Handbook of research on electronic surveys and measurements. Idea Group Reference, Hershey, PA, pp 309–312CrossRefGoogle Scholar
  22. 22.
    Brown W (2007) Celebrity-persona identification scale. In: Handbook of research on electronic surveys and measurements. IGI Global, Hershey, PA, pp 302–305CrossRefGoogle Scholar
  23. 23.
    Bentler PM (1992) On the fit of models to covariances and methodology to the bulletin. Psychol Bull 112(3):400CrossRefGoogle Scholar
  24. 24.
    Preacher KJ, Rucker DD, Hayes AF (2007) Addressing moderated mediation hypotheses: theory, methods, and prescriptions. Multivar Behav Res 42(1):185–227CrossRefGoogle Scholar
  25. 25.
    Hayes AF (2012) PROCESS: a versatile computational tool for observed variable mediation, moderation, and conditional process modellingGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Meng Tao
    • 1
    Email author
  • Hamza Kaka Abdul Wahab
    • 2
  • Jashim Khan
    • 3
  1. 1.International Business School, DUFEDalianChina
  2. 2.School of Business Administration, DUFEDalianChina
  3. 3.University of SurreyGuildfordUK

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