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Cross-Cultural Comparison of User Engagement in Online Health Communities

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Smart Health (ICSH 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10983))

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Abstract

Online health communities have become major source for people having health related concerns to exchange social support. Different websites are designed for serving people around the world. However, the OHCs across different countries might have similarities and variances. This study analyzes user engagement in two OHCs of USA and China from a cross cultural perspective. The goal of the study is to explore pros and cons of OHCs in different cultural background. The outcome of the paper has implications for the website design.

Supported by Beijing Natural Science Foundation (9184032).

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References

  1. Fox, S.: The social life of health information (2014). http://www.pewresearch.org/fact-tank/2014/01/15/the-social-life-of-health-information/

  2. Rodgers, S., Chen, Q.: Internet community group participation: psychosocial benefits for women with breast cancer. J. Comput.-Mediat. Commun. 10(4) (2005)

    Article  Google Scholar 

  3. Wright, K.B.: Computer-mediated support for health outcomes. In: Sundar, S.S. (ed.) The Handbook of the Psychology of Communication Technology, pp. 488–506. Wiley, Hoboken (2015)

    Google Scholar 

  4. Gintis, H., Bowles, S., Boyd, R., Fehr, E.: Explaining altruistic behavior in humans. Evol. Hum. Behav. 24, 153–172 (2003)

    Article  Google Scholar 

  5. Dunkel-Schetter, C.: Social support and cancer: findings based on patient interviews and their implications. J. Soc. Issues 40, 77–98 (1984)

    Article  Google Scholar 

  6. Qiu, B., et al.: Get online support, feel better – sentiment analysis and dynamics in an online cancer survivor community. In: 2011 IEEE Third International Conference on Privacy, Security, Risk and Trust (PASSAT), 2011 IEEE Third International Conference on Social Computing (SocialCom), pp. 274–281 (2011)

    Google Scholar 

  7. Zhao, K., Yen, J., Greer, G., Qiu, B., Mitra, P., Portier, K.: Finding influential users of online health communities: a new metric based on sentiment influence. J. Am. Med. Inform. Assoc. 21, e212–e218 (2014)

    Article  Google Scholar 

  8. Wang, X., Zhao, K., Street, N.: Analyzing and predicting user participations in online health communities: a social support perspective. J. Med. Internet Res. 19, e130 (2017)

    Article  Google Scholar 

  9. Shumaker, S.A., Brownell, A.: Toward a theory of social support: closing conceptual gaps. J. Soc. Issues 40, 11–36 (1984)

    Article  Google Scholar 

  10. House, J.S.: Work Stress and Social Support. Addison-Wesley Longman, Boston (1981). Incorporated

    Google Scholar 

  11. Bambina, A.: Online Social Support: The Interplay of Social Networks and Computer-Mediated Communication. Cambria Press, Amherst (2007)

    Google Scholar 

  12. Keating, D.M.: Spirituality and support: a descriptive analysis of online social support for depression. J. Relig. Health 52, 1014–1028 (2013)

    Article  Google Scholar 

  13. Chuang, K.Y., Yang, C.C.: Interaction patterns of nurturant support exchanged in online health social networking. J. Med. Internet Res. 14, e54 (2012)

    Article  Google Scholar 

  14. Zhang, M., Yang, C.C.: Using content and network analysis to understand the social support exchange patterns and user behaviors of an online smoking cessation intervention program. J. Assoc. Inf. Sci. Technol. 66, 564–575 (2015)

    Article  Google Scholar 

  15. Greene, J.A., Choudhry, N.K., Kilabuk, E., Shrank, W.H.: Online social networking by patients with diabetes: a qualitative evaluation of communication with Facebook. J. Gen. Intern. Med. 26, 287–292 (2011)

    Article  Google Scholar 

  16. Zhang, Y., He, D., Sang, Y.: Facebook as a platform for health information and communication: a case study of a diabetes group. J. Med. Syst. 37, 9942 (2013)

    Article  Google Scholar 

  17. Loane, S.S., D’Alessandro, S.: Communication that changes lives: social support within an online health community for ALS. Commun. Q. 61, 236–251 (2013)

    Article  Google Scholar 

  18. Goh, J.M., Gao, G.G., Agarwal, R.: The creation of social value: Can an online health community reduce rural–urban health disparities? Manag. Inf. Syst. Q. 40, 247–263 (2016)

    Article  Google Scholar 

  19. 任梦梅: 论文化对医疗保健的影响. 西北医学教育. 15, 845–848 (2007)

    Google Scholar 

  20. Mortenson, S.T.: Interpersonal trust and social skill in seeking social support among Chinese and Americans. Commun. Res. 36, 32–53 (2009)

    Article  Google Scholar 

  21. 李月琳, 刘冰凌: 中美网络用户信息搜寻行为比较研究:基于跨文化视角. 情报理论与实践. 38, 116–121 (2015)

    Google Scholar 

  22. Matsumoto, D.: Unmasking Japan: myths and realities about the emotions of the Japanese. J. Jpn. Stud. 56, 436–442 (1996)

    Google Scholar 

  23. Wellenkamp, J.C.: Everyday conceptions of distress. In: Russell, J.A., Fernández-Dols, J.M., Manstead, A.S.R., Wellenkamp, J.C. (eds.) Everyday Conceptions of Emotion, vol. 81. Springer, Dordrecht (1995). https://doi.org/10.1007/978-94-015-8484-5_15

    Chapter  Google Scholar 

  24. Feng, B., Burleson, B.R.: Exploring the support seeking process across cultures: toward an integrated analysis of similarities and differences. Int. Intercult. Commun. Annu. 28, 243–266 (2006)

    Google Scholar 

  25. Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent Dirichlet allocation. J. Mach. Learn. Res. 3, 993–1022 (2003)

    MATH  Google Scholar 

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Authors and Affiliations

  1. School of Information, Central University of Finance and Economics, Beijing, China

    Xi Wang & Yushan Zhu

Authors
  1. Xi Wang
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  2. Yushan Zhu
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Corresponding author

Correspondence to Xi Wang .

Editor information

Editors and Affiliations

  1. University of Arizona, Tucson, AZ, USA

    Hsinchun Chen

  2. Wuhan University, Wuhan, China

    Qing Fang

  3. University of Arizona, Tucson, AZ, USA

    Daniel Zeng

  4. Wuhan University, Wuhan, China

    Jiang Wu

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Wang, X., Zhu, Y. (2018). Cross-Cultural Comparison of User Engagement in Online Health Communities. In: Chen, H., Fang, Q., Zeng, D., Wu, J. (eds) Smart Health. ICSH 2018. Lecture Notes in Computer Science(), vol 10983. Springer, Cham. https://doi.org/10.1007/978-3-030-03649-2_10

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  • DOI: https://doi.org/10.1007/978-3-030-03649-2_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-03648-5

  • Online ISBN: 978-3-030-03649-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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