976
Views
6
CrossRef citations to date
0
Altmetric
Research Article

Does Social Media Promote or Hinder Health Learning? The Roles of Media Attention, Information Discussion, Information Elaboration, and Information Seeking Experience

ORCID Icon

References

  • Akaike, H. (1987). Factor analysis and AIC. Psychometrika, 52(3), 317–332. https://doi.org/10.1007/BF02294359
  • Ardèvol-Abreu, A., & Gil De Zúñiga, H. (2017). Effects of editorial media bias perception and media trust on the use of traditional, citizen, and social media news. Journalism & Mass Communication Quarterly, 94(3), 703–724. https://doi.org/10.1177/1077699016654684
  • Arora, N. K., Hesse, B. W., Rimer, B. K., Viswanath, K., Clayman, M. L., & Croyle, R. T. (2008). Frustrated and confused: The American public rates its cancer-related information-seeking experiences. Journal of General Internal Medicine, 23(3), 223–228. https://doi.org/10.1007/s11606-007-0406-y
  • Barnes, L. L., Khojasteh, J. J., & Wheeler, D. (2017). Cancer information seeking and scanning: Sources and patterns. Health Education Journal, 76(7), 853–868. https://doi.org/10.1177/0017896917717542
  • Beaudoin, C. E., & Thorson, E. (2004). Testing the cognitive mediation model: The roles of news reliance and three gratifications sought. Communication Research, 31(4), 446–471. https://doi.org/10.1177/0093650204266098
  • Carlson, M. (2020). Fake news as an informational moral panic: The symbolic deviancy of social media during the 2016 US presidential election. Information, Communication & Society, 23(3), 374–388. https://doi.org/10.1080/1369118X.2018.1505934
  • China Internet Network Information Center. (2022). Statistical report on Internet development in China. http://www.cnnic.net.cn/
  • China National Bureau of Statistics. (2020). China statistical yearbook. http://www.stats.gov.cn/tjsj/ndsj/2020/indexch.htm
  • Chinese Center for Disease Control and Prevention. (2020). Should men also take HPV vaccine? http://www.chinacdc.cn/gwxx/202004/t20200401_215726.html
  • Cline, R. J., & Haynes, K. M. (2001). Consumer health information seeking on the internet: The state of the art. Health Education Research, 16(6), 671–692. https://doi.org/10.1093/her/16.6.671
  • Deline, M. B., & Kahlor, L. A. (2019). Planned risk information avoidance: A proposed theoretical model. Communication Theory, 29(3), 360–382. https://doi.org/10.1093/ct/qty035
  • Deng, C., Chen, X., & Liu, Y. (2021). Human papillomavirus vaccination: Coverage rate, knowledge, acceptance, and associated factors in college students in mainland China. Human Vaccines & Immunotherapeutics, 17(3), 828–835. https://doi.org/10.1080/21645515.2020.1797368
  • Emanuel, A. S., Kiviniemi, M. T., Howell, J. L., Hay, J. L., Waters, E. A., Orom, H., & Shepperd, J. A. (2015). Avoiding cancer risk information. Social Science & Medicine, 147, 113–120. https://doi.org/10.1016/j.socscimed.2015.10.058
  • Emanuel, A. S., Godinho, C. A., Steinman, C., & Updegraff, J. A. (2018). Education differences in cancer fatalism: The role of information-seeking experiences. Journal of Health Psychology, 23(12), 1533–1544. https://doi.org/10.1177/1359105316664129
  • Epstein, R. M., & Street, R. L. (2007). Patient-centered communication in cancer care: Promoting healing and reducing suffering. National Cancer Institute.
  • Eriksson-Backa, K., Ek, S., Niemelä, R., & Huotari, M.-L. (2012). Health information literacy in everyday life: A study of Finns aged 65–79 years. Health Informatics Journal, 18(2), 83–94. https://doi.org/10.1177/1460458212445797
  • Eveland, W. P. (2001). The cognitive mediation model of learning from the news: Evidence from nonelection, off-year election, and presidential election contexts. Communication Research, 28(5), 571–601. https://doi.org/10.1177/009365001028005001
  • Eveland, W. P. (2004). The effect of political discussion in producing informed citizens: The roles of information, motivation, and elaboration. Political Communication, 21(2), 177–193. https://doi.org/10.1080/10584600490443877
  • Fleming, K., Thorson, E., & Zhang, Y. (2006). Going beyond exposure to local news media: An information-processing examination of public perceptions of food safety. Journal of Health Communication, 11(8), 789–806. https://doi.org/10.1080/10810730600959705
  • Foster, A. (2004). A nonlinear model of information‐seeking behavior. Journal of the American Society for Information Science and Technology, 55(3), 228–237. https://doi.org/10.1002/asi.10359
  • Giustini, D., Ali, S. M., Fraser, M., & Boulos, M. N. K. (2018). Effective uses of social media in public health and medicine: A systematic review of systematic reviews. Online Journal of Public Health Informatics, 10(2), e215. https://doi.org/10.5210/ojphi.v10i2.8270
  • Goldie, J. G. S. (2016). Connectivism: A knowledge learning theory for the digital age? Medical Teacher, 38(10), 1064–1069. https://doi.org/10.3109/0142159X.2016.1173661
  • Gough, A., Hunter, R. F., Ajao, O., Jurek, A., McKeown, G., Hong, J., Barrett, E., Ferguson, M., McElwee, G., & McCarthy, M. (2017). Tweet for behavior change: Using social media for the dissemination of public health messages. JMIR Public Health and Surveillance, 3(1), e14. https://doi.org/10.2196/publichealth.6313
  • Guo, Y., Lu, Z., Kuang, H., & Wang, C. (2020). Information avoidance behavior on social network sites: Information irrelevance, overload, and the moderating role of time pressure. International Journal of Information Management, 52, 102067. https://doi.org/10.1016/j.ijinfomgt.2020.102067
  • Ho, S. S., Peh, X., & Soh, V. W. (2013). The cognitive mediation model: Factors influencing public knowledge of the H1N1 pandemic and intention to take precautionary behaviors. Journal of Health Communication, 18(7), 773–794. https://doi.org/10.1080/10810730.2012.743624
  • Ho, S. S., Yang, X., Thanwarani, A., & Chan, J. M. (2017). Examining public acquisition of science knowledge from social media in Singapore: An extension of the cognitive mediation model. Asian Journal of Communication, 27(2), 193–212. https://doi.org/10.1080/01292986.2016.1240819
  • Hornik, R., Parvanta, S., Mello, S., Freres, D., Kelly, B., & Schwartz, J. S. (2013). Effects of scanning (routine health information exposure) on cancer screening and prevention behaviors in the general population. Journal of Health Communication, 18(12), 1422–1435. https://doi.org/10.1080/10810730.2013.798381
  • Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1–55. https://doi.org/10.1080/10705519909540118
  • Hwang, Y. (2012). Social diffusion of campaign effects: Campaign-generated interpersonal communication as a mediator of antitobacco campaign effects. Communication Research, 39(1), 120–141. https://doi.org/10.1177/0093650210389029
  • Jensen, J. D. (2011). Knowledge acquisition following exposure to cancer news articles: A test of the cognitive mediation model. Journal of Communication, 61(3), 514–534. https://doi.org/10.1111/j.1460-2466.2011.01549.x
  • Jensen, J. D., King, A. J., Torres, D. P., Krakow, M., Coe, K., & Upshaw, S. (2020). Is news surveillance related to cancer knowledge in underserved adults? Testing three versions of the cognitive mediation model. Journalism Studies, 21(9), 1186–1199. https://doi.org/10.1080/1461670X.2020.1731706
  • Jiang, S., & Beaudoin, C. E. (2016). Health literacy and the internet: An exploratory study on the 2013 HINTS survey. Computers in Human Behavior, 58, 240–248. https://doi.org/10.1016/j.chb.2016.01.007
  • Jiang, S., & Street, R. L. (2017). Pathway linking Internet health information seeking to better health: A moderated mediation study. Health Communication, 32(8), 1024–1031. https://doi.org/10.1080/10410236.2016.1196514
  • Kaufhold, M.-A., Rupp, N., Reuter, C., & Habdank, M. (2020). Mitigating information overload in social media during conflicts and crises: Design and evaluation of a cross-platform alerting system. Behaviour & Information Technology, 39(3), 319–342. https://doi.org/10.1080/0144929X.2019.1620334
  • Kim, B., Barnidge, M., & Kim, Y. (2020). The communicative processes of attempted political persuasion in social media environments: The mediating roles of cognitive elaboration and political orientations. Information Technology & People, 33(2), 813–828. https://doi.org/10.1108/ITP-03-2018-0157
  • Kim, B., Cooks, E., & Kim, Y. (2021). Thinking, checking and learning: Testing a moderated-mediation model of social media news use conditional upon elaboration on political knowledge via fact-checking. Online Information Review. Advance online publication. https://doi.org/10.1108/OIR-12-2020-0584
  • Kuang, K., & Wilson, S. R. (2017). A meta-analysis of uncertainty and information management in illness contexts. Journal of Communication, 67(3), 378–401. https://doi.org/10.1111/jcom.12299
  • Lee, E. W. J., & Ho, S. S. (2015). Staying abreast of breast cancer: Examining how communication and motivation relate to Singaporean women’s breast cancer knowledge. Asian Journal of Communication, 25(4), 422–442. https://doi.org/10.1080/01292986.2014.976580
  • Lee, E. W., Shin, M., Kawaja, A., & Ho, S. S. (2016). The augmented cognitive mediation model: Examining antecedents of factual and structural breast cancer knowledge among Singaporean women. Journal of Health Communication, 21(5), 583–592. https://doi.org/10.1080/10810730.2015.1114053
  • Li, J., & Zheng, H. (2020). Coverage of HPV-related information on Chinese social media: A content analysis of articles in Zhihu. Human Vaccines & Immunotherapeutics, 16(10), 2548–2554. https://doi.org/10.1080/21645515.2020.1729028
  • Li, X., & Liu, Q. (2020). Social media use, eHealth literacy, disease knowledge, and preventive behaviors in the COVID-19 pandemic: Cross-sectional study on Chinese netizens. Journal of Medical Internet Research, 22(10), e19684. https://doi.org/10.2196/19684
  • Li, W., & Cho, H. (2021). The knowledge gap on social media: Examining roles of engagement and networks. New Media & Society, 146144482110094. Advance online publication. https://doi.org/10.1177/14614448211009488
  • Liu, Y., & Gu, X. (2020). Media multitasking, attention, and comprehension: A deep investigation into fragmented reading. Educational Technology Research and Development, 68(1), 67–87. https://doi.org/10.1007/s11423-019-09667-2
  • Liu, P. L., & Jiang, S. (2021). Patient-centered communication mediates the relationship between health information acquisition and patient trust in physicians: A five-year comparison in China. Health Communication, 36(2), 207–216. https://doi.org/10.1080/10410236.2019.1673948
  • Love, B., Himelboim, I., Holton, A., & Stewart, K. (2013). Twitter as a source of vaccination information: Content drivers and what they are saying. American Journal of Infection Control, 41(6), 568–570. https://doi.org/10.1016/j.ajic.2012.10.016
  • Ma, T. J., & Atkin, D. (2017). User generated content and credibility evaluation of online health information: A meta analytic study. Telematics and Informatics, 34(5), 472–486. https://doi.org/10.1016/j.tele.2016.09.009
  • Miller, J. D., Augenbraun, E., Schulhof, J., & Kimmel, L. G. (2006). Adult science learning from local television newscasts. Science Communication, 28(2), 216–242. https://doi.org/10.1177/1075547006294461
  • Nan, X., & Madden, K. (2012). HPV vaccine information in the blogosphere: How positive and negative blogs influence vaccine-related risk perceptions, attitudes, and behavioral intentions. Health Communication, 27(8), 829–836. https://doi.org/10.1080/10410236.2012.661348
  • Naslund, J., Aschbrenner, K., Marsch, L., & Bartels, S. (2016). The future of mental health care: Peer-to-peer support and social media. Epidemiology and Psychiatric Sciences, 25(2), 113–122. https://doi.org/10.1017/S2045796015001067
  • Oeldorf-Hirsch, A. (2018). The role of engagement in learning from active and incidental news exposure on social media. Mass Communication and Society, 21(2), 225–247. https://doi.org/10.1080/15205436.2017.1384022
  • Oh, J., Bellur, S., & Sundar, S. S. (2018). Clicking, assessing, immersing, and sharing: An empirical model of user engagement with interactive media. Communication Research, 45(5), 737–763. https://doi.org/10.1177/0093650215600493
  • Oschatz, C., Maurer, M., & Haßler, J. (2019). Learning from the news about the consequences of climate change: An amendment of the cognitive mediation model. Journal of Science Communication, 18(2), A07. https://doi.org/10.22323/2.18020207
  • Park, C. S., & Kaye, B. K. (2019). Mediating roles of news curation and news elaboration in the relationship between social media use for news and political knowledge. Journal of Broadcasting & Electronic Media, 63(3), 455–473. https://doi.org/10.1080/08838151.2019.1653070
  • Pendry, L. F., & Salvatore, J. (2015). Individual and social benefits of online discussion forums. Computers in Human Behavior, 50, 211–220. https://doi.org/10.1016/j.chb.2015.03.067
  • Perez, S., Tatar, O., Ostini, R., Shapiro, G. K., Waller, J., Zimet, G., & Rosberger, Z. (2016). Extending and validating a human papillomavirus (HPV) knowledge measure in a national sample of Canadian parents of boys. Preventive Medicine, 91, 43–49. https://doi.org/10.1016/j.ypmed.2016.07.017
  • Raftery, A. E. (1995). Bayesian model selection in social research. Sociological Methodology, 25, 111–164. https://doi.org/10.2307/271063
  • Ramanadhan, S., Mendez, S. R., Rao, M., & Viswanath, K. (2013). Social media use by community-based organizations conducting health promotion: A content analysis. BMC Public Health, 13(1), 1129. https://doi.org/10.1186/1471-2458-13-1129
  • Ramírez, A. S., Freres, D., Martinez, L. S., Lewis, N., Bourgoin, A., Kelly, B. J., Lee, C.-J., Nagler, R., Schwartz, J. S., & Hornik, R. C. (2013). Information seeking from media and family/friends increases the likelihood of engaging in healthy lifestyle behaviors. Journal of Health Communication, 18(5), 527–542. https://doi.org/10.1080/10810730.2012.743632
  • Schäfer, S., Müller, P., & Ziegele, M. (2022). The double-edged sword of online deliberation: How evidence-based user comments both decrease and increase discussion participation intentions on social media. New Media & Society, 14614448211073059. Advance online publication. https://doi.org/10.1177/14614448211073059
  • Segars, A. H. (1997). Assessing the unidimensionality of measurement: A paradigm and illustration within the context of information systems research. Omega, 25(1), 107–121. https://doi.org/10.1016/S0305-0483(96)00051-5
  • Smaldone, F., Ippolito, A., & Ruberto, M. (2020). The shadows know me: Exploring the dark side of social media in the healthcare field. European Management Journal, 38(1), 19–32. https://doi.org/10.1016/j.emj.2019.12.001
  • Song, S., Yao, X., & Wen, N. (2020). What motivates Chinese consumers to avoid information about the COVID-19 pandemic?: The perspective of the stimulus-organism-response model. Information Processing & Management, 58(1), 102407. https://doi.org/10.1016/j.ipm.2020.102407
  • Sterling, M., Leung, P., Wright, D., & Bishop, T. F. (2017). The use of social media in graduate medical education: A systematic review. Academic Medicine, 92(7), 1043–1056. https://doi.org/10.1097/ACM.0000000000001617
  • Surian, D., Nguyen, D. Q., Kennedy, G., Johnson, M., Coiera, E., & Dunn, A. G. (2016). Characterizing Twitter discussions about HPV vaccines using topic modeling and community detection. Journal of Medical Internet Research, 18(8), e232. https://doi.org/10.2196/jmir.6045
  • Yang, X., Chuah, A. S., Lee, E. W., & Ho, S. S. (2017). Extending the cognitive mediation model: Examining factors associated with perceived familiarity and factual knowledge of nanotechnology. Mass Communication and Society, 20(3), 403–426. https://doi.org/10.1080/15205436.2016.1271436
  • Zaiţ, A., & Bertea, P. (2011). Methods for testing discriminant validity. Management & Marketing Journal, 9(2), 217–224. https://www.ceeol.com/search/article-detail?id=40081
  • Zhang, M. (2013). Supporting middle school students’ online reading of scientific resources: Moving beyond cursory, fragmented, and opportunistic reading. Journal of Computer Assisted Learning, 29(2), 138–152. https://doi.org/10.1111/j.1365-2729.2012.00478.x
  • Zhang, L., & Yang, X. (2021). Linking risk perception to breast cancer examination intention in China: Examining an adapted cognitive mediation model. Health Communication, 36(14), 1813–1824. https://doi.org/10.1080/10410236.2020.1796283
  • Zhao, Y., & Zhang, J. (2017). Consumer health information seeking in social media: A literature review. Health Information & Libraries Journal, 34(4), 268–283. https://doi.org/10.1111/hir.12192

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.