Diversity of digital media exposure, information verification and vaccination intention: an empirical study in China
Abstract
Purpose: During the COVID-19 pandemic, the public relied heavily on digital media to stay tuned for the latest update. Media preference could increase risk perceptions, although the influence of diverse media exposure remains unknown. Based on protection motivation theory, this study aims to investigate how digital media exposure diversity and information verification influence vaccination intention. Design/methodology/approach: Analyzing survey data from 837 respondents in China, this study examined the effects of digital media exposure on information verification, including their influences on the threat appraisal, coping appraisal, vaccine misinformation beliefs, subjective norms and trust in vaccines. Findings: Results indicate that diversity of digital media exposure increased threat appraisal (perceived severity) and coping appraisal (response efficacy and self-efficacy), while information verification increased only coping appraisal (response efficacy and self-efficacy). In addition, diversity of digital media exposure decreased vaccine misinformation beliefs. Furthermore, digital media exposure and information verification were linked to vaccination intention via the mediations of response efficacy, subjective norms and trust in vaccines. Originality/value: This study is the first of its kind to investigate media exposure diversity in the context of vaccination and health crises. Our findings extended the PMT framework by exploring proactive information-related behaviors as antecedents of mediation processes. In addition, we examined misinformation beliefs, social norms and trust as societal influences. Theoretical and practical implications are also discussed.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Chen et al. (2024) found that exposure to a diverse range of media sources positively correlates with users' likelihood of engaging in verification activities.
“For example, Chen et al. (2024) found that exposure to a diverse range of media sources positively correlates with users' likelihood of engaging in verification activities.”
From Bridging risk and retention: risk coping with privacy and hallucination in AI (2026) · cites this paper as Chen et al. 2024
Chen et al. (2024) identified protective behaviors including use of antivirus software, fake personal details, avoidance of questionable websites, removal of unwanted contacts, and seeking guidance.
“Likewise, Chen et al. (2024) identified a range of protective behaviors, including the use of antivirus software, fake personal details, avoidance of questionable websites, removal of unwanted contacts, and seeking guidance when using social media platforms.”
From Bridging risk and retention: risk coping with privacy and hallucination in AI (2026) · cites this paper as Chen et al. 2024
Cites
Hu, L., & Bentler, P. M. (1999) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705519909540118 · Cited by 108,788 · see citing works
The theory of planned behavior
Ajzen, I. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90020-t · Cited by 90,587 · see citing works
A Protection Motivation Theory of Fear Appeals and Attitude Change1
Rogers, R. W. (1975) · The Journal of Psychology · doi:10.1080/00223980.1975.9915803 · Cited by 6,805 · see citing works
Rogers, R. W., & Rogers, R. W. (1983) · Medical Entomology and Zoology · Cited by 2,577 · see citing works
A Meta‐Analysis of Research on Protection Motivation Theory
Floyd, D. L., Prentice‐Dunn, S., & Rogers, R. W. (2000) · Journal of Applied Social Psychology · doi:10.1111/j.1559-1816.2000.tb02323.x · Cited by 2,527 · see citing works
Reiter, P. L., Pennell, M. L., & Katz, M. L. (2020) · Vaccine · doi:10.1016/j.vaccine.2020.08.043 · Cited by 1,102 · see citing works
Debunking: A Meta-Analysis of the Psychological Efficacy of Messages Countering Misinformation
Chan, M.-P. S., Jones, C. R., Hall Jamieson, K., & Albarracín, D. (2017) · Psychological Science · doi:10.1177/0956797617714579 · Cited by 898 · see citing works
Understanding COVID-19 vaccine demand and hesitancy: A nationwide online survey in China
Lin, Y., Hu, Z., Zhao, Q., Alias, H., Danaee, M., & Wong, L. P. (2020) · PLoS neglected tropical diseases · doi:10.1371/journal.pntd.0008961 · Cited by 688 · see citing works
Trends in the diffusion of misinformation on social media
Allcott, H., Gentzkow, M. A., & Yu, C. (2019) · Research & Politics · doi:10.1177/2053168019848554 · Cited by 680 · see citing works
Islam, M. S., Kamal, A.-H. M., Kabir, A., Southern, D. L., Khan, S. H., Hasan, S. M. M., Sarkar, T., Sharmin, S., Das, S., Roy, T., et al. (2021) · PLoS ONE · doi:10.1371/journal.pone.0251605 · Cited by 535 · see citing works
Shmueli, L. (2021) · BMC Public Health · doi:10.1186/s12889-021-10816-7 · Cited by 521 · see citing works
An exploration of how fake news is taking over social media and putting public health at risk
Naeem, S. B., Bhatti, R., & Khan, A. A. (2020) · Health Information & Libraries Journal · doi:10.1111/hir.12320 · Cited by 491 · see citing works
Pulido, C., Villarejo-Carballido, B., Redondo-Sama, G., & Gómez, A. (2020) · International Sociology · doi:10.1177/0268580920914755 · Cited by 449 · see citing works
Komiak, S., & Benbasat, I. (2003) · Information Technology and Management · doi:10.1023/b:item.0000008081.55563.d4 · Cited by 356 · see citing works
Action versus inaction: anticipated affect in the theory of planned behavior
Ajzen, I., & Sheikh, S. (2013) · Journal of Applied Social Psychology · doi:10.1111/j.1559-1816.2012.00989.x · Cited by 320 · see citing works
Basch, C. H., Meleo-Erwin, Z. C., Fera, J., Jaime, C., & Basch, C. E. (2021) · Human Vaccines & Immunotherapeutics · doi:10.1080/21645515.2021.1894896 · Cited by 268 · see citing works
Examining the effect of information channel on COVID-19 vaccine acceptance
Piltch-Loeb, R. N., Savoia, E., Goldberg, B., Hughes, B., Verhey, T., Kayyem, J., Miller‐Idriss, C., & Testa, M. A. (2021) · PLoS ONE · doi:10.1371/journal.pone.0251095 · Cited by 217 · see citing works
Hagger, M. S., Smith, S. R., Keech, J. J., Moyers, S. A., & Hamilton, K. (2020) · Annals of Behavioral Medicine · doi:10.1093/abm/kaaa073 · Cited by 196 · see citing works
Hornik, R., Kikut, A., Jesch, E., Woko, C., Siegel, L. N., & Kim, K. (2020) · Health Communication · doi:10.1080/10410236.2020.1847437 · Cited by 189 · see citing works
Andrews, K. R., Silk, K. S., & Eneli, I. (2010) · Journal of Health Communication · doi:10.1080/10810730903460567 · Cited by 164 · see citing works
Wang, P., Ahorsu, D. K., Lin, C., Chen, I., Yen, C., Kuo, Y., Griffiths, M. D., & Pakpour, A. H. (2021) · Vaccines · doi:10.3390/vaccines9040380 · Cited by 160 · see citing works
Mousavi, R., Chen, R., Kim, D. J., & Chen, K. (2020) · Decision Support Systems · doi:10.1016/j.dss.2020.113323 · Cited by 156 · see citing works
Scannell, D., Desens, L., Guadagno, M., Tra, Y., Acker, E., Clay, K. S., Rosner, M., Mathieu, J. J., & Fulk, M. (2021) · Journal of Health Communication · doi:10.1080/10810730.2021.1955050 · Cited by 153 · see citing works
Hernandez, R. G., Hagen, L., Walker, K. K., O’Leary, H., & Lengacher, C. A. (2021) · Human Vaccines & Immunotherapeutics · doi:10.1080/21645515.2021.1912551 · Cited by 143 · see citing works
Meng, F., Guo, X., Peng, Z. C., Ye, Q., & Lai, K. (2021) · Information Technology and People · doi:10.1108/itp-11-2019-0602 · Cited by 140 · see citing works
Hovick, S. R., Kahlor, L., & Liang, M.-C. (2014) · Journal of Health Communication · doi:10.1080/10810730.2013.821556 · Cited by 135 · see citing works
Austin, E. W., Austin, B., Willoughby, J. F., Amram, O., & Domgaard, S. (2021) · Journal of Health Communication · doi:10.1080/10810730.2021.1899345 · Cited by 102 · see citing works
Communication of COVID-19 Misinformation on Social Media by Physicians in the US
Sule, S., DaCosta, M. C., DeCou, E., Gilson, C. F., Wallace, K. F., & Goff, S. L. (2023) · JAMA Network Open · doi:10.1001/jamanetworkopen.2023.28928 · Cited by 96 · see citing works
Zhang, X. A., & Cozma, R. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2021.106983 · Cited by 95 · see citing works
Naeem, M., & Ozuem, W. (2022) · Information Technology & People · doi:10.1108/itp-01-2021-0061 · Cited by 94 · see citing works
Lwin, M. O., Lee, S. Y., Panchapakesan, C., & Tandoc, E. C. (2021) · Health Communication · doi:10.1080/10410236.2021.1937842 · Cited by 89 · see citing works
Yang, Q., & Wu, S. (2019) · Health Communication · doi:10.1080/10410236.2019.1692486 · Cited by 85 · see citing works
Acceptance of protection technology in a time of fear: the case of Covid-19 exposure detection apps
Alsaad, A. K., & Al‐Okaily, M. (2021) · Information Technology and People · doi:10.1108/itp-10-2020-0719 · Cited by 82 · see citing works
Karimi, S., Liobikienė, G., Saadi, H., & Sepahvand, F. (2021) · Sustainability · doi:10.3390/su13158299 · Cited by 78 · see citing works
Jin, Q., Raza, S. H., Yousaf, M., Zaman, U., & Siang, J. M. L. D. (2021) · Vaccines · doi:10.3390/vaccines9070757 · Cited by 76 · see citing works
Liu, Z., & Yang, J. Z. (2020) · Health Communication · doi:10.1080/10410236.2020.1748834 · Cited by 74 · see citing works
Corbin, J. H., Oyene, U. E., Manoncourt, E., Onya, H. E., Kwamboka, M., Amuyunzu–Nyamongo, M., Sørensen, K., Mweemba, O., Barry, M. M., Munodawafa, D., et al. (2021) · Health Promotion International · doi:10.1093/heapro/daab152 · Cited by 74 · see citing works
Niu, Z., Zhou, Q. X., Hu, P., & Wang, T. (2021) · Health Communication · doi:10.1080/10410236.2021.1880684 · Cited by 72 · see citing works
Adiyoso, W., & Wilopo, W. (2021) · BMC Public Health · doi:10.1186/s12889-021-11884-5 · Cited by 68 · see citing works
Liu, L., Xie, J., Li, K., & Ji, S. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17217990 · Cited by 67 · see citing works
Borah, P., & Hwang, J. (2021) · Health Communication · doi:10.1080/10410236.2021.1895426 · Cited by 60 · see citing works
Bokemper, S., Cucciniello, M., Rotesi, T., Pin, P., Malik, A. A., Willebrand, K. S., Paintsil, E. E., Omer, S. B., Huber, G. A., & Melegaro, A. (2021) · PLoS ONE · doi:10.1371/journal.pone.0258282 · Cited by 58 · see citing works
Camerini, A.-L., Diviani, N., Fadda, M., & Schulz, P. J. (2018) · SSM - Population Health · doi:10.1016/j.ssmph.2018.11.005 · Cited by 56 · see citing works
Marsh, H. A., Malik, F. A., Shapiro, E., Omer, S. B., & Frew, P. M. (2013) · Maternal and Child Health Journal · doi:10.1007/s10995-013-1404-9 · Cited by 53 · see citing works
Ihm, J., & Lee, C. (2020) · Health Communication · doi:10.1080/10410236.2020.1847450 · Cited by 52 · see citing works
Griffin, B. L., Conner, M. T., & Norman, P. E. (2022) · Social Science & Medicine · doi:10.1016/j.socscimed.2022.114819 · Cited by 45 · see citing works
Hanson, C. L., Crandall, A., Barnes, M., & Novilla, M. L. B. (2021) · Health Education & Behavior · doi:10.1177/10901981211000318 · Cited by 42 · see citing works
Determinants of Human Papillomavirus (HPV) Vaccination Intent Among Three Canadian Target Groups
Gainforth, H. L., Cao, W., & Latimer‐Cheung, A. E. (2012) · Journal of Cancer Education · doi:10.1007/s13187-012-0389-1 · Cited by 40 · see citing works
Xiao, X. (2022) · Telematics and Informatics · doi:10.1016/j.tele.2022.101890 · Cited by 40 · see citing works
Forster, A. S., McBride, K. A., Davies, C., Stoney, T., Marshall, H. S., McGeechan, K., Cooper, S. C., & Skinner, S. R. (2017) · Public Health · doi:10.1016/j.puhe.2017.02.006 · Cited by 39 · see citing works
Anti-Vaxxers, Politicization of Science, and the Need for Trust in Pandemic Response
May, T. (2020) · Journal of Health Communication · doi:10.1080/10810730.2020.1864519 · Cited by 39 · see citing works
Sun, Y. (2022) · Science Communication · doi:10.1177/10755470221088927 · Cited by 39 · see citing works
Sun, Y., Feng, Y., Shen, X., & Guo, X. (2022) · Information Technology and People · doi:10.1108/itp-07-2021-0519 · Cited by 36 · see citing works
Paredes, M. R., Apaolaza, V., Marcos, A., & Hartmann, P. (2021) · Health Communication · doi:10.1080/10410236.2021.1996685 · Cited by 35 · see citing works
Schulz, P. J., & Hartung, U. (2020) · Health Communication · doi:10.1080/10410236.2020.1771119 · Cited by 33 · see citing works
Wirz, C. D., Shao, A., Bao, L., Howell, E. L., Monroe, H., & Chen, K. (2021) · Journalism & Mass Communication Quarterly · doi:10.1177/10776990211049455 · Cited by 32 · see citing works
Liu, Y., Duong, H. T., & Nguyen, H. T. (2021) · Atlantic Journal of Communication · doi:10.1080/15456870.2021.1951733 · Cited by 31 · see citing works
Xin, M., Luo, S., She, R., Chen, X., Li, L., Li, L., Chen, X., & Lau, J. T. F. (2021) · Vaccines · doi:10.3390/vaccines9101204 · Cited by 31 · see citing works
Obregón, R., Mosquera, M., Tomsa, S., & Chitnis, K. (2020) · Journal of Health Communication · doi:10.1080/10810730.2021.1879366 · Cited by 30 · see citing works
A quantitative diary study of perceptions of security in mobile payment transactions
Zhang, J., & Luximon, Y. (2020) · Behaviour and Information Technology · doi:10.1080/0144929x.2020.1771418 · Cited by 29 · see citing works
McCullock, S. P., & Perrault, E. K. (2019) · Journal of Health Communication · doi:10.1080/10810730.2019.1692262 · Cited by 27 · see citing works
Digging the rabbit hole, COVID-19 edition: anti-vaccine themes and the discourse around COVID-19
Smith, T. C., & Reiss, D. R. (2020) · Microbes and Infection · doi:10.1016/j.micinf.2020.11.001 · Cited by 27 · see citing works
Why People Who Know Less Think They Know about COVID-19: Evidence from US and Singapore
Lee, S., Yamamoto, M., & Tandoc, E. C. (2021) · Journalism & Mass Communication Quarterly · doi:10.1177/10776990211049460 · Cited by 27 · see citing works
Information source dependence, presumed media influence, risk knowledge, and vaccination intention
Lin, C. A., Xu, X., & Dam, L. (2020) · Atlantic Journal of Communication · doi:10.1080/15456870.2020.1720022 · Cited by 26 · see citing works
Self-citationPal, A., & Banerjee, S. (2020) · Information Technology and People · doi:10.1108/itp-02-2019-0097 · Cited by 26 · see citing works
Huang, R., Wang, Z., Yuan, T., Nadarzynski, T., Qian, H., Li, P., Meng, X., Wang, G., Zhou, Y., Luo, D., et al. (2021) · Tumour Virus Research · doi:10.1016/j.tvr.2021.200222 · Cited by 26 · see citing works
Xiao, Q., Liu, X., Wang, R., Mao, Y., Chen, H., Li, X., Liu, X., Dai, J., Gao, J., Fu, H., et al. (2021) · Vaccines · doi:10.3390/vaccines9090967 · Cited by 25 · see citing works
Self-citationMedium and source convergence in crisis information acquisition: Patterns, antecedents, and outcomes
Zhao, X., Xu, S., & Austin, L. (2022) · New Media & Society · doi:10.1177/14614448221088866 · Cited by 24 · see citing works
Liu, W., & Huang, Y. (2021) · Health Communication · doi:10.1080/10410236.2021.1993586 · Cited by 23 · see citing works
Zhao, X., Ma, Z., Xu, S., & Austin, L. L. (2024) · Health Communication · doi:10.1080/10410236.2022.2154017 · Cited by 23 · see citing works
Abdel-Raheem, A., & Alkhammash, R. (2021) · Discourse & Communication · doi:10.1177/17504813211043724 · Cited by 22 · see citing works
The popularity of contradictory information about COVID-19 vaccine on social media in China
Wang, D., & Zhou, Y. (2022) · Computers in Human Behavior · doi:10.1016/j.chb.2022.107320 · Cited by 22 · see citing works
Acar, D., & Kıcali, Ü. Ö. (2021) · Social Work in Public Health · doi:10.1080/19371918.2021.2018082 · Cited by 21 · see citing works
Protection Motivation Theory and Intentions to Receive the COVID-19 Vaccine
Kowalski, R. M., Deas, N., Britt, N., Richardson, E., Finnell, S., Evans, K., Carroll, H., Cook, A., Radovic, E., Huyck, T., et al. (2022) · Health Promotion Practice · doi:10.1177/15248399211070807 · Cited by 20 · see citing works
Gazibara, T. M., Cakić, M., Cakić, J., Grgurević, A., & Pekmezovic, T. D. (2022) · Health Information & Libraries Journal · doi:10.1111/hir.12440 · Cited by 19 · see citing works
Kim, H., Han, J. Y., So, J., & Seo, Y. (2020) · Journal of Health Communication · doi:10.1080/10810730.2020.1842566 · Cited by 15 · see citing works
Trường, N. X., Ngọc, B. H., & Hà, N. T. (2022) · SAGE Open · doi:10.1177/21582440221096129 · Cited by 15 · see citing works
Lee, T., Johnson, T. J., & Weaver, D. H. (2022) · Mass Communication & Society · doi:10.1080/15205436.2022.2046103 · Cited by 13 · see citing works
Ranaivoson, H. R., & Domazetovikj, N. (2023) · Media and Communication · doi:10.17645/mac.v11i2.6401 · Cited by 12 · see citing works
Liu, Y., Li, X., Liang, Z., & Wu, X. (2021) · Asian Journal of Communication · doi:10.1080/01292986.2021.1888305 · Cited by 11 · see citing works
Porten-Cheé, P., & Eilders, C. (2019) · Communications · doi:10.1515/commun-2018-2013 · Cited by 9 · see citing works
Westney, Z. V., Hur, I., Wang, L., & Sun, J. (2023) · Information Technology and People · doi:10.1108/itp-05-2022-0410 · Cited by 9 · see citing works
Kim, J., Chan‐Olmsted, S. M., & Chen, H. (2022) · Information Technology and People · doi:10.1108/itp-02-2022-0107 · Cited by 8 · see citing works
Self-citationBeaudoin, C. E. (2023) · Telematics and Informatics · doi:10.1016/j.tele.2023.102027 · Cited by 8 · see citing works
Media Factors That Contribute to a Restriction of Exposure to Diversity
Schumann, D. W. (2003) · doi:10.4324/9781410609366-20 · Cited by 7 · see citing works
Lovell, J., & Clark, L. A. (2022) · Journal of Health Communication · doi:10.1080/10810730.2022.2134523 · Cited by 6 · see citing works
Check the Report and Comments: The Veracity Assessment of Unfamiliar News on Social Media
Zeng, H.-K., Wu, T.-Y., & Atkin, D. J. (2022) · Digital Journalism · doi:10.1080/21670811.2022.2079541 · Cited by 5 · see citing works
Self-citationFrom Global Pandemic to Research Excellence in Regions Across the Globe
Ha, L. S. (2020) · Journalism & Mass Communication Quarterly · doi:10.1177/1077699020938682 · Cited by 3 · see citing works
Flagged first, then by citations
1 of the 89 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Generative AI risks and resilience: How users adapt to hallucination and privacy challenges
Lee, C., Kim, J., Lim, J. S., & Shin, D. (2025) · Telematics and Informatics Reports · doi:10.1016/j.teler.2025.100221 · Cited by 53 · see citing works
Pal, A., Dé, R., & Rao, H. R. (2025) · Decision Support Systems · doi:10.1016/j.dss.2025.114495 · Cited by 2 · see citing works
Inoue, S., & Fuji, K. (2024) · Technology in Society · doi:10.1016/j.techsoc.2024.102776 · Cited by 1 · see citing works
Zhang, R., Jia, H., Wu, F., Chen, A., & Luo, X. (2025) · Frontiers in Communication · doi:10.3389/fcomm.2025.1708185 · Cited by 1 · see citing works
He, M., Chen, H., Chen, Y., & Chen, X. (2026) · Journal of Health Communication · doi:10.1080/10810730.2026.2636812 · Cited by 1 · see citing works
Self-citationBridging risk and retention: risk coping with privacy and hallucination in AI
Shin, D., Rasul, A., & Shahzad, K. (2026) · AI & SOCIETY · doi:10.1007/s00146-026-03127-1
Fear for me or fear for others? How self-others threat asymmetry drives misinformation correction
Wu, Y., Shen, X., & Li, Y. (2026) · Journal of Documentation · doi:10.1108/jd-12-2025-0375
Kordzadeh, N., & Qahri‐Saremi, H. (2026) · Internet Research · doi:10.1108/intr-01-2025-0096
Handarkho, Y. D., Indriasari, T. D., Yohanes Sigit Purnomo, W. P., & Palangan, C. Y. (2026) · Computers in Human Behavior · doi:10.1016/j.chb.2026.109115
Digital media exposure, trust, and preventive behaviors during COVID-19 pandemic
Shah, Z., Wei, L., & Rahimi, A. W. (2026) · Acta Psychologica · doi:10.1016/j.actpsy.2026.107417
- Authors
- Chen, H., Chen, Y., Xu, X., & Atkin, D.
- Affiliations
- Zhejiang University (CN)
- Butler University (US)
- University of Connecticut (US)
- Venue
- Information Technology & People
- Publisher
- Emerald
- Published
- 2024-08-12
- Volume
- 38
- Issue
- 6
- Pages
- 2531-2554
- ISSN
- 0959-3845 (ISSN-L)
- 1758-5813
- OpenAlex
- W4401482292
- Cited by
- 10
- References
- 89
- Citations by year
- 2026: 6 · 2025: 3 · 2024: 1
- FWCI
- 4.55
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Information Technology and People (publishedVersion)
- Topics
- Social Sciences › Health › Vaccine Coverage and Hesitancy
- Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
- Social Sciences › Communication › Communication and COVID-19 Impact
- Keywords
- fact-checking, COVID-19 vaccination intention, protection motivation theory, vaccine confidence, subjective norms, threat appraisal, coping appraisal, response efficacy, self-efficacy, health misinformation, China
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review