Evaluating the Role of Automated Fact-Checking (AI) in Combating Health Misinformation and Strengthening Policy Effectiveness: A Comparative Study of Government Hospitals in Australia and Pakistan

Authors

  • dr saad medicine Author

DOI:

https://doi.org/10.70765/m7v8b944

Keywords:

Artificial Intelligence, Fact-Checking, Health Misinformation, Public Health Policy, Australia, Pakistan

Abstract

Health misinformation poses a significant threat to public health, particularly during crises such as pandemics. Automated fact-checking systems powered by artificial intelligence (AI) have emerged as vital tools in detecting and countering false health claims. This study evaluates the role of AI-driven fact-checking in combating health misinformation, comparing its implementation and effectiveness in government hospitals in Australia and Pakistan. While Australia has integrated AI into its national health communication strategies, Pakistan faces challenges due to limited digital infrastructure and policy gaps. Through a comparative analysis, this article assesses the strengths, limitations, and policy implications of AI fact-checking in these two contrasting healthcare systems. The findings suggest that while AI can significantly reduce misinformation, its success depends on governmental support, digital literacy, and healthcare infrastructure. Policy recommendations are provided to optimize AI fact-checking in diverse healthcare settings.

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References

Allen, J., Howland, B., Mobius, M., Rothschild, D., & Watts, D. J. (2021). Evaluating the fake news problem at the scale of the information ecosystem. Science Advances, 7(14), eaay3539. https://doi.org/10.1126/sciadv.aay3539

Borgesius, F. Z., Trilling, D., Möller, J., Bodó, B., de Vreese, C. H., & Helberger, N. (2022). Should we worry about filter bubbles? Internet Policy Review, 11(1). https://doi.org/10.14763/2022.1.1616

Brennen, J. S., Simon, F., Howard, P. N., & Nielsen, R. K. (2021). Types, sources, and claims of COVID-19 misinformation. Reuters Institute. https://reutersinstitute.politics.ox.ac.uk/types-sources-and-claims-covid-19-misinformation

Digital Health Cooperative Research Centre. (2023). AI in Australian healthcare: 2023 impact report. DHCRC. https://www.digitalhealthcrc.com

Hassan, N., Arslan, F., Li, C., & Tremayne, M. (2017). ClaimBuster: The first-ever end-to-end fact-checking system. Proceedings of the VLDB Endowment, 10(12), 1945-1948. https://doi.org/10.14778/3137765.3137815

Hussain, A., Tahir, A., Hussain, Z., Sheikh, Z., Gogate, M., Dashtipour, K., & Sheikh, A. (2023). Artificial intelligence–enabled analysis of public attitudes on Facebook and Twitter toward COVID-19 vaccines in the United Kingdom and United States: Observational study. JMIR Public Health Surveillance, 9(1), e38543. https://doi.org/10.2196/38543

Islam, M. S., Sarkar, T., Khan, S. H., Kamal, A. M., Hasan, S. M., Kabir, A., & Seale, H. (2021). COVID-19–related infodemic and its impact on public health: A global social media analysis. The American Journal of Tropical Medicine and Hygiene, 103(4), 1621-1629. https://doi.org/10.4269/ajtmh.20-0812

Khan, S., Hasan, M. K., & Yaqoob, I. (2022). Digital health in Pakistan: Challenges and opportunities. The Lancet Digital Health, 4(1), e12-e13. https://doi.org/10.1016/S2589-7500(21)00246-7

Lewandowsky, S., Cook, J., Ecker, U. K., Albarracín, D., Amazeen, M. A., Kendeou, P., & Zaragoza, M. S. (2020). The Debunking Handbook 2020. George Mason University. https://doi.org/10.17910/b7.1182

Loomba, S., de Figueiredo, A., Piatek, S. J., de Graaf, K., & Larson, H. J. (2021). Measuring the impact of COVID-19 vaccine misinformation on vaccination intent in the UK and USA. Nature Human Behaviour, 5(3), 337-348. https://doi.org/10.1038/s41562-021-01056-1

Pennycook, G., & Rand, D. G. (2021). The psychology of fake news. Trends in Cognitive Sciences, 25(5), 388-402. https://doi.org/10.1016/j.tics.2021.02.007

Roozenbeek, J., Schneider, C. R., Dryhurst, S., Kerr, J., Freeman, A. L., Recchia, G., & van der Linden, S. (2022). Susceptibility to misinformation about COVID-19 around the world. Royal Society Open Science, 7(10), 201199. https://doi.org/10.1098/rsos.201199

Shao, C., Hui, P. M., Wang, L., Jiang, X., Flammini, A., Menczer, F., & Ciampaglia, G. L. (2018). Anatomy of an online misinformation network. PLOS ONE, 13(4), e0196087. https://doi.org/10.1371/journal.pone.0196087

Shu, K., Mahudeswaran, D., Wang, S., Lee, D., & Liu, H. (2020). FakeNewsNet: A data repository with news content, social context, and spatiotemporal information for studying fake news on social media. Big Data, 8(3), 171-188. https://doi.org/10.1089/big.2020.0062

Starke, G., De Clercq, E., & Elger, B. S. (2022). Towards a pragmatist dealing with algorithmic bias in medical machine learning. Medicine, Health Care and Philosophy, 25(3), 499-513. https://doi.org/10.1007/s11019-022-10094-z

Thomas, T., Wilson, C., & Xue, J. (2022). AI fact-checking in Australia: Lessons from COVID-19. Health Communication, 38(4), 712-721. https://doi.org/10.1080/10410236.2022.2036439

Thorne, J., & Vlachos, A. (2021). Automated fact-checking for assisting human fact-checkers. Proceedings of IJCAI. https://doi.org/10.24963/ijcai.2021/600

Vraga, E. K., & Bode, L. (2020). Defining misinformation and understanding its bounded nature: Using expertise and evidence for describing misinformation. Political Communication, 37(1), 136-144. https://doi.org/10.1080/10584609.2020.1716500

Vraga, E. K., & Bode, L. (2023). Leveraging institutions, educators, and networks to correct misinformation. Nature Human Behaviour, 7(3), 322-330. https://doi.org/10.1038/s41562-023-01533-9

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Published

2025-03-28

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How to Cite

Evaluating the Role of Automated Fact-Checking (AI) in Combating Health Misinformation and Strengthening Policy Effectiveness: A Comparative Study of Government Hospitals in Australia and Pakistan. (2025). Health Sciences AUS, 5(1). https://doi.org/10.70765/m7v8b944

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