Determinants of Health Information Verification: Mediating Roles of Fake News Awareness and Network Trust

Zeinab Zaremohzzabieh, Akmar Hayati Ahmad Ghazali, Ismi Arif Ismail, Mohd Mursyid Arshad, Julia Wirza Mohd Zawawi

Abstract


In the digital era, the proliferation of health information necessitates individuals to evaluate its accuracy and reliability critically. This study investigates the influential factors in predicting health information verification behaviours, focusing particularly on trust in networks and fake news awareness as mediating variables. Data were collected from 400 social networking users across five Malaysian states and analysed using partial least squares structural equation modelling. The findings indicate that fake news awareness emerged as the most significant predictor of health information verification behaviour. Furthermore, social tie variety and information quality significantly predicted fake news awareness. Through the mediation of fake news awareness, indirect relationships between information quality, social tie variety, and health information verification behaviour were identified. These findings highlight the need for practical interventions, such as digital literacy programs and awareness campaigns, to enhance users' ability to critically assess health information. Such efforts are essential for empowering social media users to distinguish reliable information from misinformation, ultimately contributing to better public health outcomes. Going forward, this research deepens the understanding of health information verification behaviour, expands the health sector’s existing knowledge base, and provides a comprehensive framework that enriches our understanding of the factors influencing information verification behaviour within the context of health in a non-Western setting.

 

Keywords: Health information verification behaviours, social networking users, Malaysia, fake news awareness, social tie variety.

 

https://doi.org/10.17576/JKMJC-2025-4101-06


Full Text:

PDF

References


Allcott, H., & Gentzkow, M. (2017). Social media and fake news in the 2016 election. Journal of Economic Perspectives, 31(2), 211–236.

Anderson, J. R. (1983). A spreading activation theory of memory. Journal of Verbal Learning and Verbal Behavior, 22(3), 261–295.

Apuke, O. D., & Omar, B. (2020). Modelling the antecedent factors that affect online fake news sharing on COVID-19: The moderating role of fake news knowledge. Health Education Research, 35(5), 490–503. https://doi.org/10.1093/her/cyaa030

Apuke, O. D., Omar, B., & Tunca, E. A. (2022). Effect of fake news awareness as an intervention strategy for motivating news verification behaviour among social media users in Nigeria: A quasi-experimental research. Journal of Asian and African Studies, 56, 00219096221079320.

Apuke, O. D., Omar, B., Tunca, E. A., & Gever, C. V. (2022). Information overload and misinformation sharing behaviour of social media users: Testing the moderating role of cognitive ability. Journal of Information Science, 016555152211219. https://doi.org/10.1177/01655515221121942

Archer, R. L. (1979). The role of personality and the social situation. In G. J. Chelune (Ed.), Self-disclosure. Jossey-Bass.

Ascione, J., Qureshi, S., Richardson, A., & Thandrayen, J. (2016). Mastering introductory statistics: Experiences and outcomes for a public service cohort learning introductory statistics. OZCOTS 2016, 93–98. http://hdl.handle.net/1885/270404

Ayub, S. H., Hamzah, M. R., Azmi, S. N. M. S., Omar, W. A. H. W., Abdullah, N. H., Wahab, Z., & Salim, H. (2017). Sexual health communication among youth: A study of knowledge and attitude. Jurnal Komunikasi: Malaysian Journal of Communication, 33(4), 233–248.

Azemi, N., Zaidi, H., & Hussin, N. (2018). Information Quality in Organization for Better Decision-Making. International Journal of Academic Research in Business and Social Sciences, 7(12), 429–437. https://doi.org/10.6007/IJARBSS/v7-i12/3624

Bailey, J. E., & Pearson, S. W. (1983). Development of a tool for measuring and analyzing computer user satisfaction. Management Science, 29(5), 530–545. https://doi.org/10.1287/mnsc.29.5.530

Balakrishnan, J., Abed, S. S., & Jones, P. (2022). The role of meta-UTAUT factors, perceived anthropomorphism, perceived intelligence, and social self-efficacy in chatbot-based services? Technological Forecasting and Social Change, 180, 121692. https://doi.org/10.1016/j.techfore.2022.121692

Barua, Z., & Barua, A. (2021). Acceptance and usage of mHealth technologies amid COVID-19 pandemic in a developing country: The UTAUT combined with situational constraint and health consciousness. Journal of Enabling Technologies, 15(1), 1–22.

Bastick, Z. (2021). Would you notice if fake news changed your behavior? An experiment on the unconscious effects of disinformation. Computers in Human Behavior, 116, 106633.

Bautista, J. R., Zhang, Y., & Gwizdka, J. (2021). Healthcare professionals’ acts of correcting health misinformation on social media. International Journal of Medical Informatics, 148, 104375.

Bin Naeem, S., & Kamel Boulos, M. N. (2021). COVID-19 misinformation online and health literacy: A brief overview. International Journal of Environmental Research and Public Health, 18(15), 8091.

Chowdhury, S. R., Sunna, T. C., & Ahmed, S. (2021). Telemedicine is an important aspect of healthcare services amid COVID-19 outbreak: Its barriers in Bangladesh and strategies to overcome. The International Journal of Health Planning and Management, 36(1), 4–12.

Dabbous, A., Aoun Barakat, K., & De Quero Navarro, B. (2022). Fake news detection and social media trust: A cross-cultural perspective. Behaviour & Information Technology, 41(14), 2953–2972. https://doi.org/10.1080/0144929X.2021.1963475

Dame Adjin-Tettey, T. (2022). Combating fake news, disinformation, and misinformation: Experimental evidence for media literacy education. Cogent Arts & Humanities, 9(1), 2037229. https://doi.org/10.1080/23311983.2022.2037229

Eagly, A. H., & Chaiken, S. (1993). The psychology of attitudes. Harcourt brace Jovanovich College Publishers. https://psycnet.apa.org/record/1992-98849-000

Etikan, I., & Bala, K. (2017). Sampling and sampling methods. Biometrics & Biostatistics International Journal, 5(6), 215–217.

Fadhila, S., Nisa, Y. F., Nihayah, Z., Hayat, B., Syani, P. A., & Adelina, R. (2021). Perceived accuracy of fake news on social media. 2021 9th International Conference on Cyber and IT Service Management (CITSM), 1–7.

Gerhart, N., & Sidorova, A. (2017). The effect of network characteristics on online identity management practices. Journal of Computer Information Systems, 57(3), 229–237. https://doi.org/10.1080/08874417.2016.1184007

Guo, B., Ding, Y., Sun, Y., Ma, S., Li, K., & Yu, Z. (2020). The mass, fake news, and cognition security. Frontiers of Computer Science, 15(3), 153806. https://doi.org/gh4dtn

Hair Jr., J. F., Matthews, L. M., Matthews, R. L., & Sarstedt, M. (2017). PLS-SEM or CB-SEM: Updated guidelines on which method to use. International Journal of Multivariate Data Analysis, 1(2), 107–123. https://doi.org/10.1504/IJMDA.2017.087624

Hair Jr, J. F., Sarstedt, M., Hopkins, L., & Kuppelwieser, V. G. (2014). Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research. European Business Review, 26(2), 106–121. https://doi.org/bbgb

Hamedan, N. N., Alsagoff, S. A. S., & Ghazali, A. H. A. (2019). Media, isu dan tingkah laku pengundi dalam Pilihan Raya Umum ke-14: Satu kajian awal. Jurnal Komunikasi: Malaysian Journal of Communication, 35(2), 293–312.

Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The use of partial least squares path modeling in international marketing. In Sinkovics, R. R. & Ghauri, P. N. (Eds.), New challenges to international marketing (Advances in International Marketing, Vol. 20, pp. 277–319). Emerald Group Publishing Limited. https://doi.org/fbbzjt

Howard, P. N., Neudert, L.-M., Prakash, N., & Vosloo, S. (2021). Digital misinformation/ disinformation and children. UNICEF.

https://www.unicef.org/globalinsight/media/2096/file/unicef-global-insight-digital-mis-disinformation-and-children-2021.pdf

Jayaraman, P. P., Forkan, A. R. M., Morshed, A., Haghighi, P. D., & Kang, Y.-B. (2020). Healthcare 4.0: A review of frontiers in digital health. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 10(2), 1–23.

Jiang, G., Liu, F., Liu, W., Liu, S., Chen, Y., & Xu, D. (2021). Effects of information quality on information adoption on social media review platforms: Moderating role of perceived risk. Data Science and Management, 1(1), 13–22. https://doi.org/pcfj

Kelman, H. C. (1958). Compliance, identification, and internalization three processes of attitude change. Journal of Conflict Resolution, 2(1), 51–60. https://doi.org/c8mzkt

Kemp, S. (2021). Digital 2021: Global overview report. DataReportal. https://datareportal.com/reports/digital-2021-global-overview-report

Khan, M. L., & Idris, I. K. (2019). Recognise misinformation and verify before sharing: A reasoned action and information literacy perspective. Behaviour & Information Technology, 38(12), 1194–1212.

Khan, T., Michalas, A., & Akhunzada, A. (2021). Fake news outbreak 2021: Can we stop the viral spread? Journal of Network and Computer Applications, 190, 103112. https://doi.org/10.1016/j.jnca.2021.103112

Kim, S., & Kim, S. (2020). The Crisis of public health and infodemic: Analyzing belief structure of fake news about COVID-19 pandemic. Sustainability, 12(23), 9904.

Kington, R. S., Arnesen, S., Chou, W.-Y. S., Curry, S. J., Lazer, D., & Villarruel, A. M. (2021). Identifying credible sources of health information in social media: Principles and attributes. NAM Perspectives, 1–37.

Kock, N., & Lynn, G. (2012). Lateral collinearity and misleading results in variance-based SEM: An illustration and recommendations. Journal of the Association for Information Systems, 13(7), 546-580.

Kovalan, K., Omar, S. Z., Tang, L., Bolong, J., Abdullah, R., Ghazali, A. H. A., & Pitchan, M. A. (2021). A systematic literature review of the types of authentication safety practices among internet users. International Journal of Advanced Computer Science and Applications, 12(7), 829–837. https://doi.org/10.14569/ijacsa.2021.0120792

Kumar, A., Shankar, A., Behl, A., Arya, V., & Gupta, N. (2023). Should I share it? Factors influencing fake news-sharing behaviour: A behavioural reasoning theory perspective. Technological Forecasting and Social Change, 193, 122647.

Li, J., & Barbieri, C. (2020). Demystifying members’ social capital and networks within an agritourism association: A social network analysis. Tourism and Hospitality, 1(1), 41–58.

Liu, C., Wang, D., Liu, C., Jiang, J., Wang, X., Chen, H., Ju, X., & Zhang, X. (2020). What is the meaning of health literacy? A systematic review and qualitative synthesis. Family Medicine and Community Health, 8(2), 1–8.

Majerczak, P., & Strzelecki, A. (2022). Trust, media credibility, social ties, and the intention to share towards information verification in an age of fake news. Behavioral Sciences, 12(2), 51.

McKnight, D. H., & Chervany, N. L. (2001). What trust means in e-commerce customer relationships: An interdisciplinary conceptual typology. International Journal of Electronic Commerce, 6(2), 35–59. https://doi.org/cxqp

McKnight, D. H., Lankton, N. K., Nicolaou, A., & Price, J. (2017). Distinguishing the effects of B2B information quality, system quality, and service outcome quality on trust and distrust. The Journal of Strategic Information Systems, 26(2), 118–141. https://doi.org/10.1016/j.jsis.2017.01.001

Moges, H.-T., Vlasselaer, V. V., Lemahieu, W., & Baesens, B. (2016). Determining the use of data quality metadata (DQM) for decision making purposes and its impact on decision outcomes—An exploratory study. Decision Support Systems, 83, 32–46. https://doi.org/10.1016/j.dss.2015.12.006

Morley, J., Cowls, J., Taddeo, M., & Floridi, L. (2020). Public health in the information age: Recognizing the infosphere as a social determinant of health. Journal of Medical Internet Research, 22(8), e19311. https://doi.org/10.2196/19311

Nifadkar, S. S., Wu, W., & Gu, Q. (2019). Supervisors’ work‐related and nonwork information sharing: Integrating research on information sharing, information seeking, and trust using self‐disclosure theory. Personnel Psychology, 72(2), 241–269. https://doi.org/10.1111/peps.12305

Obadă, D.-R., & Dabija, D.-C. (2022). The mediation effects of social media usage and sharing fake news about companies. Behavioral Sciences, 12(10), 372.

Pundir, V., Devi, E. B., & Nath, V. (2021). Arresting fake news sharing on social media: A theory of planned behavior approach. Management Research Review, 44(8), 1108–1138. https://doi.org/10.1108/MRR-05-2020-0286

Rahman, M. M., Khatun, F., Sami, S. I., & Uzzaman, A. (2022). The evolving roles and impacts of 5G enabled technologies in healthcare: The world epidemic COVID-19 issues. Array, 14, 100178.

Ramayah, T., Hwa, C., Chuah, F., Ting, H., & Memon, M. (2017). PLS-SEM using SmartPLS 3.0: Assessment of moderation analysis (2nd ed.). Pearson.

Rodgers, K., & Massac, N. (2020). Misinformation: A threat to the public’s health and the public health system. Journal of Public Health Management and Practice, 26(3), 294–296.

Röchert, D., Shahi, G. K., Neubaum, G., Ross, B., & Stieglitz, S. (2021). The networked context of covid-19 misinformation: Informational homogeneity on YouTube at the beginning of the pandemic. Online Social Networks and Media, 26, 100164. https://doi.org/10.1016/j.osnem.2021.100164

Rosemary, R., Azman, Z., & Irma, A. (2022). Why audiences’ voice on developing anti-smoking messages matters. Jurnal Komunikasi: Malaysian Journal of Communication, 38(2), 72–86.

Schumacker, R. E., & Lomax, R. G. (2010). A beginner’s guide to structural equation modeling. Routledge.

Sharma, P. N., Shmueli, G., Sarstedt, M., Danks, N., & Ray, S. (2021). Prediction-oriented model selection in partial least squares path modeling. Decision Sciences, 52(3), 567–607. https://doi.org/10.1111/deci.12329

Shaw, C. R., & McKay, H. D. (1942). Juvenile delinquency and urban areas. University of Chicago Press. https://psycnet.apa.org/record/1943-00271-000

Shi, J., Hu, P., Lai, K. K., & Chen, G. (2018). Determinants of users’ information dissemination behavior on social networking sites: An elaboration likelihood model perspective. Internet Research, 28(2), 393–418. https://doi.org/10.1108/IntR-01-2017-0038

Southwell, B. G., Wood, J. L., & Navar, A. M. (2020). Roles for health care professionals in addressing patient-held misinformation beyond fact correction. American Journal of Public Health, 110(S3), S288–S289. https://doi.org/10.2105/AJPH.2020.305729

Spiekermann, S., Krasnova, H., Hinz, O., Baumann, A., Benlian, A., Gimpel, H., Heimbach, I., Köster, A., Maedche, A., & Niehaves, B. (2022). Values and ethics in information systems: A state-of-the-art analysis and avenues for future research. Business & Information Systems Engineering, 64(2), 247–264.

Stefanone, M. A., Vollmer, M., & Covert, J. M. (2019). In news we trust? Examining credibility and sharing behaviors of fake news. Proceedings of the 10th International Conference on social media and Society, 136–147. https://doi.org/10.1145/3328529.3328554

Styvén, M. E., & Foster, T. (2018). Who am I if you can’t see me? The “self” of young travellers as driver of eWOM in social media. Journal of Tourism Futures, 4(1), 80–92.

Sussman, S. W., & Siegal, W. S. (2003). Informational influence in organizations: An integrated approach to knowledge adoption. Information Systems Research, 14(1), 47–65.

Swire-Thompson, B., & Lazer, D. (2020). Public health and online misinformation: Challenges and recommendations. Annu Rev Public Health, 41(1), 433–451.

Talwar, S., Dhir, A., Singh, D., Virk, G. S., & Salo, J. (2020). Sharing of fake news on social media: Application of the honeycomb framework and the third-person effect hypothesis. Journal of Retailing and Consumer Services, 57, 102197. https://doi.org/ghjg35

Tkáčová, H., Pavlíková, M., Jenisová, Z., Maturkanič, P., & Králik, R. (2021). Social media and students’ wellbeing: An empirical analysis during the covid-19 pandemic. Sustainability, 13(18), 10442.

Torres, R., Gerhart, N., & Negahban, A. (2018). Epistemology in the era of fake news: An exploration of information verification behaviors among social networking site users. ACM SIGMIS Database: The DATABASE for Advances in Information Systems, 49(3), 78–97. https://doi.org/10.1145/3242734.3242740

Vermeulen, B., & Van Belle, J.-P. (2023). How trust in authority and trust in networks relates to verification and sharing behaviours: COVID-19 health information sharing on WhatsApp. 2023 Ninth International Conference on eDemocracy & eGovernment (ICEDEG), 1–8. https://doi.org/10.1109/ICEDEG58167.2023.10121951

Villafranca, E. S., & Peters, U. (2019). Smart and blissful? Exploring the characteristics of individuals that share fake news on social networking sites. Twenty-fifth Americas Conference on Information Systems, Cancun.

Wei, L., Gong, J., Xu, J., Eeza Zainal Abidin, N., & Destiny Apuke, O. (2023). Do social media literacy skills help in combating fake news spread? Modelling the moderating role of social media literacy skills in the relationship between rational choice factors and fake news sharing behaviour. Telematics and Informatics, 76, 101910. https://doi.org/pcfk

Yatid, M. M. (2019). Truth tampering through social media: Malaysia’s approach in fighting disinformation & misinformation. IKAT: The Indonesian Journal of Southeast Asian Studies, 2(2), 203–230.


Refbacks

  • There are currently no refbacks.


e-ISSN: 2289-1528