Social Media Communication about HPV Vaccine in China: A Study Using Topic Modeling and Survey

References

• Allington, D., McAndrew, S., Moxham-Hall, V. L., & Duffy, B. (2021). Media usage predicts intention to be vaccinated against SARS-Cov-2 in the US and the UK. Vaccine, 39(18), 2595–2603. https://doi.org/10.1016/j.vaccine.2021.02.054
   PubMed Web of Science ®Google Scholar
• Anker, A. E., Reinhart, A. M., & Feeley, T. H. (2011). Health information seeking: A review of measures and methods. Patient Education and Counseling, 82(3), 346–354. https://doi.org/10.1016/j.pec.2010.12.008
   PubMed Web of Science ®Google Scholar
• Ansari, J. A. N., & Khan, N. A. (2020). Exploring the role of social media in collaborative learning the new domain of learning. Smart Learning Environments, 7(1), 1–16. https://doi.org/10.1186/s40561-020-00118-7
   Google Scholar
• Atanasova, S., & Petric, G. (2019). Collective empowerment in online health communities: Scale development and empirical validation. Journal of Medical Internet Research, 21(11), e14392. https://doi.org/10.2196/14392
   PubMed Web of Science ®Google Scholar
• Barak, A., Boniel-Nissim, M., & Suler, J. (2008). Fostering empowerment in online support groups. Computers in Human Behavior, 24(5), 1867–1883. https://doi.org/10.1016/j.chb.2008.02.004
   Web of Science ®Google Scholar
• Basu, A., & Dutta, M. J. (2008). The relationship between health information seeking and community participation: The roles of health information orientation and efficacy. Health Communication, 23(1), 70–79. https://doi.org/10.1080/10410230701807121
   PubMed Web of Science ®Google Scholar
• 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
   Web of Science ®Google Scholar
• Berger, C. R., & Calabrese, R. J. (1975). Some explorations in initial interaction and beyond: Toward a developmental theory of interpersonal communication. Human Communication Research, 1(2), 99–112. https://doi.org/10.1111/j.1468-2958.1975.tb00258.x
   Google Scholar
• Blei, D. M., Ng, A. Y., & Jordan, M. I. (2003). Latent dirichlet allocation. Journal of Machine Learning Research, 3(1), 993–1022. https://doi.org/10.1162/jmlr.2003.3.4-5.993
   Google Scholar
• Chatterjee, J. S., Bhanot, A., Frank, L. B., Murphy, S. T., & Power, G. (2009). The importance of interpersonal discussion and self-efficacy in knowledge, attitude, and practice models. International Journal of Communication, 3, 607–634. https://ijoc.org/index.php/ijoc/article/view/444
   Web of Science ®Google Scholar
• Chen, H. (2018, May 1). Nine-valent HPV vaccine approved for marketing in our country. Guangming Daily. http://www.gov.cn/xinwen/2018-05/01/content_5287181.htm
   Google Scholar
• China Center for Disease Control and Prevention. (2020). Should men also take HPV vaccine? http://www.chinacdc.cn/gwxx/202004/t20200401_215726.html
   Google Scholar
• China National Bureau of Statistics. (2020). China statistical yearbook. http://www.stats.gov.cn/tjsj/ndsj/2020/indexch.htm
   Google Scholar
• Chung, J. E. (2014). Social networking in online support groups for health: How online social networking benefits patients. Journal of Health Communication, 19(6), 639–659. https://doi.org/10.1080/10810730.2012.757396
   PubMed Web of Science ®Google Scholar
• Clark, J. K., Wegener, D. T., Habashi, M. M., & Evans, A. T. (2012). Source expertise and persuasion: The effects of perceived opposition or support on message scrutiny. Personality & Social Psychology Bulletin, 38(1), 90–100. https://doi.org/10.1177/0146167211420733
   PubMed Web of Science ®Google Scholar
• Dunn, A. G., Surian, D., Leask, J., Dey, A., Mandl, K. D., & Coiera, E. (2017). Mapping information exposure on social media to explain differences in HPV vaccine coverage in the United States. Vaccine, 35(23), 3033–3040. https://doi.org/10.1016/j.vaccine.2017.04.060
   PubMed Web of Science ®Google Scholar
• Elder, R. W., Shults, R. A., Sleet, D. A., Nichols, J. L., Thompson, R. S., & Rajab, W., & Task Force on Community Preventive Services. (2004). Effectiveness of mass media campaigns for reducing drinking and driving and alcohol-involved crashes: A systematic review. American Journal of Preventive Medicine, 27(1), 57–65. https://doi.org/10.1016/j.amepre.2004.03.002
   PubMed Web of Science ®Google Scholar
• Evans, M. S. (2014). A computational approach to qualitative analysis in large textual datasets. PLoS ONE, 9(2), 1–10. https://doi.org/10.1371/journal.pone.0087908
   Web of Science ®Google Scholar
• 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
   Web of Science ®Google Scholar
• Ford, B. M., & Kaphingst, K. A. (2009). Lay interpersonal sources for health information related to beliefs about the modifiability of cancer risk. Cancer Causes & Control, 20(10), 1975. https://doi.org/10.1007/s10552-009-9392-1
   PubMed Web of Science ®Google Scholar
• Hew, K. F., & Cheung, W. S. (2014). Using blended learning: Evidence-based practices. Springer.
   Google Scholar
• Jiang, S. (2019). Functional interactivity in social media: An examination of Chinese health care organizations’ microblog profiles. Health Promotion International, 34(1), 38–46. https://doi.org/10.1093/heapro/dax056
   PubMed Web of Science ®Google Scholar
• Jiang, S., & Liu, J. (2020). Examining the relationship between Internet health information seeking and patient-centered communication in China: Taking into account self-efficacy in medical decision-making. Chinese Journal of Communication, 13(4), 407–424. https://doi.org/10.1080/17544750.2020.1769700
   Web of Science ®Google Scholar
• Jiang, S., & Ngien, A. (2020). The effects of instagram use, social comparison, and self-esteem on social anxiety: A survey study in Singapore. Social Media+Society, 6(2), 2056305120912488. https://doi.org/10.1177/2056305120912488
   Google Scholar
• Kang, H. S., & Moneyham, L. (2010). Attitudes toward and intention to receive the human papilloma virus (HPV) vaccination and intention to use condoms among female Korean college students. Vaccine, 28(3), 811–816. https://doi.org/10.1016/j.vaccine.2009.10.052
   PubMed Web of Science ®Google Scholar
• Kelly, B., Hornik, R., Romantan, A., Schwartz, J. S., Armstrong, K., DeMichele, A., Fishbein, M., Gray, S., Hull, S., & Kim, A. (2010). Cancer information scanning and seeking in the general population. Journal of Health Communication, 15(7), 734–753. https://doi.org/10.1080/10810730.2010.514029
   PubMed Web of Science ®Google Scholar
• King, G., Lam, P., & Roberts, M. E. (2017). Computer-assisted keyword and document set discovery from unstructured text. American Journal of Political Science, 61(4), 971–988. https://doi.org/10.1111/ajps.12291
   Web of Science ®Google Scholar
• Korda, H., & Itani, Z. (2013). Harnessing social media for health promotion and behavior change. Health Promotion Practice, 14(1), 15–23. https://doi.org/10.1177/1524839911405850
   PubMedGoogle Scholar
• Leader, A. E., Cashman, R., Voytek, C. D., Baker, J. L., Brawner, B. M., & Frank, I. (2011). An exploratory study of adolescent female reactions to direct-to-consumer advertising: The case of the Human Papillomavirus (HPV) Vaccine. Health Marketing Quarterly, 28(4), 372–385. https://doi.org/10.1080/07359683.2011.630289
   PubMedGoogle Scholar
• Leavy, J. E., Bull, F. C., Rosenberg, M., & Bauman, A. (2011). Physical activity mass media campaigns and their evaluation: A systematic review of the literature 2003–2010. Health Education Research, 26(6), 1060–1085. https://doi.org/10.1093/her/cyr069
   PubMed Web of Science ®Google Scholar
• Lee, C., Niederdeppe, J., & Freres, D. (2012). Socioeconomic disparities in fatalistic beliefs about cancer prevention and the internet. Journal of Communication, 62(6), 972–990. https://doi.org/10.1111/j.1460-2466.2012.01683.x
   PubMed Web of Science ®Google Scholar
• Lewis, N. (2017). Information seeking and scanning. In P. Rössler, C. A. Hoffner, & L. Zoonen (Eds.), The international encyclopedia of media effects (pp. 1–10). John Wiley & Sons.
   Google Scholar
• Li, L., & Li, J. (2020). Factors affecting young Chinese women’s intentions to uptake human papillomavirus vaccination: An extension of the theory of planned behavior model. Human Vaccines & Immunotherapeutics, 16(12), 3123–3130. https://doi.org/10.1080/21645515.2020.1779518
   PubMed Web of Science ®Google Scholar
• Li, W., Nowak, G., Jin, Y., & Cacciatore, M. (2018). Inadequate and incomplete: Chinese newspapers’ coverage of the first licensed Human Papillomavirus (HPV) vaccine in China. Journal of Health Communication, 23(6), 581–590. https://doi.org/10.1080/10810730.2018.1493060
   PubMed Web of Science ®Google Scholar
• Lin, W.-Y., Zhang, X., Song, H., & Omori, K. (2016). Health information seeking in the Web 2.0 age: Trust in social media, uncertainty reduction, and self-disclosure. Computers in Human Behavior, 56, 289–294. https://doi.org/10.1016/j.chb.2015.11.055
   Web of Science ®Google Scholar
• Liu, L., Liu, Y., Wang, J., An, L., & Jiao, J. (2016). Use of a knowledge-attitude-behaviour education programme for Chinese adults undergoing maintenance haemodialysis: Randomized controlled trial. Journal of International Medical Research, 44(3), 557–568. https://doi.org/10.1177/0300060515604980
   PubMed Web of Science ®Google Scholar
• Liu, L., Xie, J., Li, K., & Ji, S. (2020). Exploring how media influence preventive behavior and excessive preventive intention during the COVID-19 pandemic in China. International Journal of Environmental Research and Public Health, 17(21), 7990. https://doi.org/10.3390/ijerph17217990
   PubMed Web of Science ®Google Scholar
• 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
   PubMed Web of Science ®Google Scholar
• Loft, L. H., Pedersen, E. A., Jacobsen, S. U., Søborg, B., & Bigaard, J. (2020). Using Facebook to increase coverage of HPV vaccination among Danish girls: An assessment of a Danish social media campaign. Vaccine, 38(31), 4901–4908. https://doi.org/10.1016/j.vaccine.2020.04.032
   PubMed Web of Science ®Google Scholar
• Longo, D. R. (2005). Understanding health information, communication, and information seeking of patients and consumers: A comprehensive and integrated model. Health Expectations, 8(3), 189–194. https://doi.org/10.1111/j.1369-7625.2005.00339.x
   PubMed Web of Science ®Google Scholar
• Longo, D. R., Patrick, T. B., & Kruse, R. L. (2001). The natural history of the use of healthcare information by women with breast cancer: A conceptual model. Proceedings of AMIA symposium, 413–417. Washington DC: Hanley & Belfus.
   Google Scholar
• 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
   PubMed Web of Science ®Google Scholar
• Machand-Martella, N., Slocum, T. A., & Martella, R. (2004). Introduction to direct instruction. Allyn-Bacon.
   Google Scholar
• Maier, D., Waldherr, A., Miltner, P., Wiedemann, G., Niekler, A., Keinert, A., Pfetsch, B., Heyer, G., Reber, U., Häussler, T., Schmid-Petri, H., & Adam, S. (2018). Applying LDA topic modeling in communication research: Toward a valid and reliable methodology. Communication Methods and Measures, 12(2–3), 93–118. https://doi.org/10.1080/19312458.2018.1430754
   Web of Science ®Google Scholar
• Manika, D., Ball, J. G., & Stout, P. A. (2014). Factors associated with the persuasiveness of direct-to-consumer advertising on HPV vaccination among young women. Journal of Health Communication, 19(11), 1232–1247. https://doi.org/10.1080/10810730.2013.872727
   PubMed Web of Science ®Google Scholar
• Moorhead, S. A., Hazlett, D. E., Harrison, L., Carroll, J. K., Irwin, A., & Hoving, C. (2013). A new dimension of health care: Systematic review of the uses, benefits, and limitations of social media for health communication. Journal of Medical Internet Research, 15(4), e85. https://doi.org/10.2196/jmir.1933
   PubMed Web of Science ®Google Scholar
• Nambisan, P. (2011). Information seeking and social support in online health communities: Impact on patients’ perceived empathy. Journal of the American Medical Informatics Association, 18(3), 298–304. https://doi.org/10.1136/amiajnl-2010-000058
   PubMed Web of Science ®Google Scholar
• National Cancer Institute. (2021). Health information national trends survey (HINTS). http://hints.cancer.gov/
   Google Scholar
• Naughton, F., Prevost, A. T., Gilbert, H., & Sutton, S. (2012). Randomized controlled trial evaluation of a tailored leaflet and sms text message self-help intervention for pregnant smokers (MiQuit). Nicotine & Tobacco Research, 14(5), 569–577. https://doi.org/10.1093/ntr/ntr254
   PubMed Web of Science ®Google Scholar
• Nelson, L. K., Burk, D., Knudsen, M., & McCall, L. (2018). The future of coding: A comparison of hand-coding and three types of computer-assisted text analysis methods. Sociological Methods & Research, 50(1), 202–237. https://doi.org/10.1177/0049124118769114
   Google Scholar
• Ngien, A., & Jiang, S. (2021). The effect of social media on stress among young adults during COVID-19 pandemic: Taking into account fatalism and social media exhaustion. Health Communication, 1–8. Advance online publication. https://doi.org/10.1080/10410236.2021.1888438
   Google Scholar
• Niederdeppe, J., Hornik, R. C., Kelly, B. J., Frosch, D. L., Romantan, A., Stevens, R. S., Barg, F. K., Weiner, J. L., & Schwartz, J. S. (2007). Examining the dimensions of cancer-related information seeking and scanning behavior. Health Communication, 22(2), 153–167. https://doi.org/10.1080/10410230701454189
   PubMed Web of Science ®Google Scholar
• Ortiz, R. R., Shafer, A., Cates, J., & Coyne-Beasley, T. (2018). Development and evaluation of a social media health intervention to improve adolescents’ knowledge about and vaccination against the human papillomavirus. Global Pediatric Health, 5, 2333794X1877791. https://doi.org/10.1177/2333794X18777918
   Google Scholar
• 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
   PubMed Web of Science ®Google Scholar
• Quinn, K. M., Monroe, B. L., Colaresi, M., Crespin, M. H., & Radev, D. R. (2010). How to analyze political attention with minimal assumptions and costs. American Journal of Political Science, 54(1), 209–228. https://doi.org/10.1111/j.1540-5907.2009.00427.x
   Web of Science ®Google Scholar
• 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
   PubMedGoogle Scholar
• Roberts, M. E., Stewart, B. M., & Tingley, D. (2016). Navigating the local modes of big data: The case of topic models. In R. M. Alvarez (Ed.), Computational social science: Discovery and prediction (pp. 51–97). Cambridge University Press.
   Google Scholar
• Rogers, E. M. (2010). Diffusion of innovations. Simon and Schuster.
   Google Scholar
• Shi, J., Poorisat, T., & Salmon, C. T. (2018). The use of social networking sites (SNSs) in health communication campaigns: Review and recommendations. Health Communication, 33(1), 49–56. https://doi.org/10.1080/10410236.2016.1242035
   PubMed Web of Science ®Google Scholar
• Shim, M., Kelly, B., & Hornik, R. (2006). Cancer information scanning and seeking behavior is associated with knoweldge, lifestyle choices, and screening. Journal of Health Communication, 11(S1), 157–172. https://doi.org/10.1080/10810730600637475
   PubMed Web of Science ®Google Scholar
• Street, R. L. (2003). Mediated consumer–provider communication in cancer care: The empowering potential of new technologies. Patient Education and Counseling, 50(1), 99–104. https://doi.org/10.1016/S0738-3991(03)00089-2
   PubMed Web of Science ®Google Scholar
• Strømme, H., Mosdøl, A., Nordheim, L. W., & Vist, G. E. (2014). Effects of using social media in health awareness campaigns to promote healthy lifestyle habits. The Norwegian Institute of Public Health.
   Google Scholar
• 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), e6045. https://doi.org/10.2196/jmir.6045
   Web of Science ®Google Scholar
• Thackeray, R., Neiger, B. L., Smith, A. K., & Van Wagenen, S. B. (2012). Adoption and use of social media among public health departments. BMC Public Health, 12(1), 242. https://doi.org/10.1186/1471-2458-12-242
   PubMed Web of Science ®Google Scholar
• Vicari, S., & Cappai, F. (2016). Health activism and the logic of connective action. A case study of rare disease patient organisations. Information, Communication and Society, 19(11), 1653–1671. https://doi.org/10.1080/1369118X.2016.1154587
   PubMed Web of Science ®Google Scholar
• Wallach, H. M., Mimno, D., & McCallum, A. (2009). Rethinking LDA: Why priors matter. In Y. Bengio, D. Schuurmans, J. D. Lafferty, C. K. I. Williams, & A. Culotta (Eds.), Advances in neural information processing systems (Vol. 22, pp. 1973–1981). Curran Associates.
   Google Scholar
• Welch, V., Petkovic, J., Pardo, J. P., Rader, T., & Tugwell, P. (2016). Interactive social media interventions to promote health equity: An overview of reviews. Health Promotion and Chronic Disease Prevention in Canada, 36(4), 63–75. https://doi.org/10.24095/hpcdp.36.4.01
   PubMed Web of Science ®Google Scholar
• Wong, L. P., Wong, P.-F., Megat Hashim, M. M. A. A., Han, L., Lin, Y., Hu, Z., Zhao, Q., & Zimet, G. D. (2020). Multidimensional social and cultural norms influencing HPV vaccine hesitancy in Asia. Human Vaccines & Immunotherapeutics, 16(7), 1611–1622. https://doi.org/10.1080/21645515.2020.1756670
   PubMed Web of Science ®Google Scholar
• The World Bank. (2020). School enrollment, tertiary (% gross). https://data.worldbank.org/indicator/SE.TER.ENRR
   Google Scholar
• Xiang, Z., & Gretzel, U. (2010). Role of social media in online travel information search. Tourism Management, 31(2), 179–188. https://doi.org/10.1016/j.tourman.2009.02.016
   Web of Science ®Google Scholar
• Zhang, L., Jung, E. H., & Chen, Z. (2020). Modeling the pathway linking health information seeking to psychological well-being on WeChat. Health Communication, 35(9), 1101–1112. https://doi.org/10.1080/10410236.2019.1613479
   PubMed Web of Science ®Google Scholar
• Zhang, L., Zhao, J., & Xu, K. (2016). Who creates trends in online social media: The crowd or opinion leaders? Journal of Computer-Mediated Communication, 21(1), 1–16. https://doi.org/10.1111/jcc4.12145
   Web of Science ®Google Scholar
• Zhang, X., Han, X., Dang, Y., Meng, F., Guo, X., & Lin, J. (2017). User acceptance of mobile health services from users’ perspectives: The role of self-efficacy and response-efficacy in technology acceptance. Informatics for Health & Social Care, 42(2), 194–206. https://doi.org/10.1080/17538157.2016.1200053
   PubMed Web of Science ®Google Scholar
• Zhu, Y., Guan, M., & Donovan, E. (2020). Elaborating cancer opinion leaders’ communication behaviors within online health communities: Network and content analyses. Social Media+Society, 6(2), 2056305120909473. https://doi.org/10.1177/2056305120909473
   Google Scholar