Digital Literacy and Information Disorder: Understanding Older Adults' Interaction With False Information on Social Media
Abstract
This paper investigates how older adults engage with social media and how they deal with misinformation and disinformation. Many older adults today rely on platforms like Facebook and WhatsApp to stay informed, but often struggle to distinguish the truth from false information online. This research, therefore, focuses on why older users struggle to identify false information online. It also examines how digital literacy, trust in information sources, and emotional responses factor into their decisions. A mixed-method was employed. Researchers distributed a questionnaire to 20 elderly users aged 60 years and older and conducted interviews with the same participants to add more depth. They analysed the data using simple statistics and thematic analysis. The results indicate that many elderly users struggle with fact-checking and sometimes believe messages passed along by friends or family. But the more digital skills people had, the more cautious they were about sharing and the more questions they asked. This study suggests the need for basic, applicable media literacy education even for older adults. Helping them fact-check being misled.
The following research questions guide this study: 1) How do older adults respond to misinformation and disinformation on social media? 2) What factors influence their trust in the content they receive and share on social media? 3) In what ways does digital literacy affect their ability to deal with false or misleading information?
By addressing these questions, the study aims to shed light on how older adults interact with social media amid widespread misinformation and disinformation. It also hopes to suggest practical ways to help improve digital literacy and critical thinking skills among this age group.
Keywords
Full Text:
PDFReferences
1. Wardle, C. (2017). Information disorder: Toward an interdisciplinary framework for research and policy making. Council of Europe,
2. Tandoc, E. C., Lim, Z. W., & Ling, R. (2017). Defining "Fake news." Digital Journalism, 6(2), 137–153. doi: 10.1080/21670811.2017.1360143
3. Pariser, E. (2011). The Filter Bubble: What the Internet is Hiding From You. Penguin UK
4. Vosoughi, S., Roy, D., & Aral, S. (2018). The spread of true and false news online. Science, 359(6380), 1146–1151. doi: 10.1126/science.aap9559
5. Clayton, K., Blair, S., Busam, J. A., Forstner, S., Glance, J., Green, G., Kawata, A., Kovvuri, A., Martin, J., Morgan, E., Sandhu, M., Sang, R., Scholz-Bright, R., Welch, A. T., Wolff, A. G., Zhou, A., & Nyhan, B. (2019). Real solutions for fake news? Measuring the effectiveness of general warnings and Fact-Check tags in reducing belief in false stories on social media. Political Behaviour, 42(4), 1073–1095. doi: 10.1007/s11109-019-09533-0
6. Lewandowsky, S., Ecker, U. K. H., Seifert, C. M., Schwarz, N., & Cook, J. (2012). Misinformation and its correction. Psychological Science in the Public Interest, 13(3), 106–131. doi: 10.1177/1529100612451018
7. Cinelli, M., Quattrociocchi, W., Galeazzi, A., Valensise, C. M., Brugnoli, E., Schmidt, A. L., Zola, P., Zollo, F., & Scala, A. (2020). The COVID-19 social media infodemic. Scientific Reports, 10(1). doi: 10.1038/s41598-020-73510-5
8. Pennycook, G., Bear, A., Collins, E. T., & Rand, D. G. (2020). The implied truth effect: attaching warnings to a subset of fake news headlines increases perceived accuracy of headlines without warnings. Management Science, 66(11), 4944–4957. doi: 10.1287/mnsc.2019.3478
9. Brashier, N. M., & Schacter, D. L. (2020). Ageing in an era of fake news. Current Directions in Psychological Science, 29(3), 316–323. doi: 10.1177/0963721420915872
10. Aondover, E. M., Uchendu, C., Onyejelem, T. E., & Omolara, O. (2024). Propagation of False Information on COVID-19 among Nigerians on Social Media. Linglit Journal: Scientific Journal of Linguistics and Literature, 5(3), 158-172,
11. Grady, C. (2012). The cognitive neuroscience of ageing. Nature Reviews. Neuroscience, 13(7), 491–505. doi: 10.1038/nrn3256
12. Wu, B. (2020). Social isolation and loneliness among older adults in the context of COVID-19: a global challenge. Global Health Research and Policy, 5(1). doi: 10.1186/s41256-020-00154-3
13. Garrett, R. K., Weeks, B. E., & Neo, R. L. (2016). Driving a wedge between evidence and beliefs: How online ideological news exposure promotes political misperceptions. Journal of Computer-Mediated Communication, 21(5), 331–348. doi: 10.1111/jcc4.12164
14. Bessi, A., Zollo, F., Del Vicario, M., Scala, A., Caldarelli, G., & Quattrociocchi, W. (2015). Trend of narratives in the age of misinformation. PLoS ONE, 10(8), e0134641. doi: 10.1371/journal.pone.0134641
15. Bakir, V., & McStay, A. (2017). Fake news and the economy of emotions. Digital Journalism, 6(2), 154–175. doi: 10.1080/21670811.2017.1345645
16. Lewandowsky, S., Cook, J., Ecker, U., Albarracín, D., Kendeou, P., Newman, E. J., Pennycook, G., Porter, E., Rand, D. G., Rapp, D. N., Reifler, J., Roozenbeek, J., Schmid, P., Seifert, C., M., Sinatra, G. M., Swire-Thompson, B., van der Linden, S., Wood, T. J., & Zaragoza, M. S. (2020). The Debunking Handbook 2020. Retrieved from https://digitalcommons.unl.edu/cgi/viewcontent.cgi?params=/context/scholcom/article/1247/&path_info=DebunkingHandbook2020.pdf
17. Roozenbeek, J., Schneider, C. R., Dryhurst, S., Kerr, J., Freeman, A. L. J., Recchia, G., Van Der Bles, A. M., & Van Der Linden, S. (2020). Susceptibility to misinformation about COVID-19 around the world. Royal Society Open Science, 7(10), 201199. doi: 10.1098/rsos.201199
18. Anderson, M., &. Perrin, A. (2017). Technology use among seniors. Pew Research Centre.
19. Hargittai, E., Piper, A. M., & Morris, M. R. (2018). From internet access to internet skills: digital inequality among older adults. Universal Access in the Information Society, 18(4), 881–890. doi: 10.1007/s10209-018-0617-5
20. Choi, N. G., & DiNitto, D. M. (2013). Internet use among older adults: association with health needs, psychological capital, and social capital. Journal of Medical Internet Research, 15(5), 97. doi: 10.2196/jmir.2333
21. Morrow-Howell, N., Galucia, N., & Swinford, E. (2020). Recovering from the COVID-19 Pandemic: A Focus on Older Adults. Journal of Aging & Social Policy, 32(4–5), 526–535. doi: 10.1080/08959420.2020.1759758
22. Guess, A., Nagler, J., & Tucker, J. (2019). Less than you think: Prevalence and predictors of fake news dissemination on Facebook. Science Advances, 5(1). doi: 10.1126/sciadv.aau4586
23. Tseng, S., & Fogg, B. J. (1999). Credibility and computing technology. Communications of the ACM, 42(5), 39–44. doi: 10.1145/301353.301402
24. Neter, E., & Brainin, E. (2012). EHealth Literacy: Extending the digital divide to the realm of health information. Journal of Medical Internet Research, 14(1), e19. doi: 10.2196/jmir.1619
25. Koohikamali, M., & Sidorova, A. (2017). Information Re-Sharing on Social Network Sites in the Age of Fake News. Informing Science the International Journal of an Emerging Transdiscipline, 20, 215–235. doi: 10.28945/3871
26. Potter, W. (2004). Theory of Media Literacy: A Cognitive Approach. SAGE Publications.
27. Hobbs, R. (2010). Digital and Media Literacy. A Plan of Action. The Aspen Institute.
28. Livingstone, S. (2004). Media literacy and the challenge of new information and communication technologies. The Communication Review, 7(1), 3–14. doi: 10.1080/10714420490280152
29. Aufderheide, P. (1993). Media Literacy. A Report of the National Leadership Conference on Media Literacy. Communications and Society Program, the Aspen Institute.
Article Metrics
Metrics powered by PLOS ALM
Refbacks
- There are currently no refbacks.
Copyright (c) 2025 Khalid Bada

This work is licensed under a Creative Commons Attribution 4.0 International License.



