Perceived Usefulness of Online Health Information Sharing: A Text Mining Based Empirical Research

  • Jiahui Gao
  • Zhenyan Xiao
  • Jingxuan Cai
  • Chengkun Wang
  • Jiang WuEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11924)


Due to the concern for time and geological distance, the seeking health information behavior of patients has transferred from offline to online. The online information sharing has become one of the main sources where patients can obtain health information. Thus, the usefulness of online health information sharing is particularly important. This paper collects 9902 articles in health field from Baidu Experience which is the largest experience-sharing platform in China. It adopts the Information Adoption Model to analyze the impact of author’s credibility, text attributes, and pictures on the perceived usefulness of health-information-sharing articles. Results show that readers prefer long articles with more detailed health information and negative emotions in articles can affect readers’ perception of usefulness. And illustrated articles are easier to receive recognition. On the other hand, authors’ motivation in utilitarianism may lead to challenges to quality of the health-information-sharing article and, in return, hinder readers from adopt the information from the article.


Information sharing Online health information Perceived usefulness Information adoption Baidu Experience 



This research is supported by the National Natural Science Foundation of China (No.71573197).


  1. 1.
    Yong, S.H., Kim, Y.G.: Why would online gamers share their innovation-conducive knowledge in the online game user community? Integrating individual motivations and social capital perspectives. Comput. Hum. Behav. 27(2), 956–970 (2011)CrossRefGoogle Scholar
  2. 2.
    Hooff, B.V.D., Ridder, J.A.D.: Knowledge sharing in context: the influence of organizational commitment, communication climate and CMC use on knowledge sharing. J. Knowl. Manage. 8(6), 117–130 (2004)CrossRefGoogle Scholar
  3. 3.
    China Association for Science and Technology: Chinese netizens’ demand for popular science search behavior report (first quarter of 2019), 26 April 2019/05 September 2019.
  4. 4.
    Kankanhalli, A., Tan, B.C.Y., Wei, K.K.: Contributing knowledge to electronic knowledge repositories: an empirical investigation. MIS Q. 29(1), 113–143 (2005)CrossRefGoogle Scholar
  5. 5.
    Ma, M., Agarwal, R.: Through a glass darkly: information technology design, identity verification, and knowledge contribution in online communities. Inf. Syst. Res. 18(1), 42–67 (2007)CrossRefGoogle Scholar
  6. 6.
    Galunic, D.C., Rodan, S.: Resource recombinations in the firm: knowledge structures and the potential for schumpeterian innovation. Strateg. Manag. J. 19(12), 1193–1201 (2015)CrossRefGoogle Scholar
  7. 7.
    Sussman, S.W., Siegal, W.S.: Informational influence in organizations: an integrated approach to knowledge adoption. Inf. Syst. Res. 14(1), 47–65 (2003)CrossRefGoogle Scholar
  8. 8.
    Parboteeah, D.V., Valacich, J.S., Wells, J.D.: The influence of website characteristics on a consumer’s urge to buy impulsively. Inf. Syst. Res. 20(1), 60–78 (2009)CrossRefGoogle Scholar
  9. 9.
    Hwang, K.O., et al.: Social support in an Internet weight loss community. Int. J. Med. Informatics 79(1), 5–13 (2010)CrossRefGoogle Scholar
  10. 10.
    Krishnamoorthy, S.: Linguistic features for review helpfulness prediction. Expert Syst. Appl. 42(7), 3751–3759 (2015)CrossRefGoogle Scholar
  11. 11.
    Yoo, J., Kim, M.: The effects of online product presentation on consumer responses: a mental imagery perspective. J. Bus. Res. 67(11), 2464–2472 (2014)CrossRefGoogle Scholar
  12. 12.
    Allen, W.: The influence of source credibility on communication effectiveness. Audiov. Commun. Rev. 1(2), 142–143 (1953)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Jiahui Gao
    • 1
  • Zhenyan Xiao
    • 2
  • Jingxuan Cai
    • 1
  • Chengkun Wang
    • 1
  • Jiang Wu
    • 1
    Email author
  1. 1.School of Information ManagementCenter for E-Commerce Research and Development, Wuhan UniversityWuhanChina
  2. 2.International Business SchoolJinnan UniversityGuangzhouChina

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