Abstract
This study investigates behavioural patterns in identifying disinformation within news environments, where algorithmically curated information flows shape human-technology interaction. Using data from the 2025 Eurobarometer survey (n=26,114), the research employs statistical analysis to compare users' attitudes towards news in traditional and social media. Findings indicate a significant disparity: while 65.9 % of respondents express high confidence in recognising fake news, 34.1% remain unconfident. Notably, high engagement with social media correlates with a greater exposure to disinformation. Women tend to have slightly higher self-reported exposure to disinformation (23.8%) than men (21.1%). Results demonstrate that demographic factors, particularly age and years of education, significantly shape information-checking behaviours. By adopting a human-oriented perspective, the study highlights how digitally mediated environments structure users’ interaction with information and condition their capacity to critically assess its reliability.
Metrics
References
- Alsyoof, S. M. S., László, V., & Sneider, T. (2025). Humane oriented CSR on social media: The roles of other praising emotions and social justice values. Journal of International Studies, 18(3), 46-67. https://doi.org/10.14254/2071-8330.2025/18-3/3 DOI: https://doi.org/10.14254/2071-8330.2025/18-3/3
- Altay, S., Berriche, A., & Acerbi, A. (2023). Misinformation on Misinformation: Conceptual and Methodological Challenges. Social Media + Society, 9(1). https://doi.org/10.1177/20563051221150412 DOI: https://doi.org/10.1177/20563051221150412
- Altay, S., Hoes, E., & Wojcieszak, M. (2025). Following news on social media boosts knowledge, belief accuracy and trust. Nature Human Behaviour, 9(9), 1833-1842. https://doi.org/10.1038/s41562-025-02205-6 DOI: https://doi.org/10.1038/s41562-025-02205-6
- Altay, S., Lyons, B. A., & Modirrousta-Galian, A. (2024). Exposure to higher rates of false news erodes media trust and fuels overconfidence. Mass Communication and Society, 28(2), 301-325. https://doi.org/10.1080/15205436.2024.2382776 DOI: https://doi.org/10.1080/15205436.2024.2382776
- Bacik, R., Gburova, J., Gavura, S., & Iannaccone, B. (2025). Impact of digital marketing on the purchasing behavior of modern consumers in the field of tourism. Journal of International Studies, 18(1), 116-129. https://doi.org/10.14254/2071- 8330.2025/18-1/7 DOI: https://doi.org/10.14254/2071-8330.2025/18-1/7
- Boczkowski, P. J., & Mitchelstein, E. (2021). The Digital Environment: How We Live, Learn, and Love Now. MIT Press. DOI: https://doi.org/10.7551/mitpress/13602.001.0001
- Bowes, S. M., Costello, T. H., & Tasimi, A. (2023). The conspiratorial mind: A meta-analytic review of motivational and personological correlates. Psychological Bulletin, 149(5-6), 259-293. https://doi.org/10.1037/bul0000392 DOI: https://doi.org/10.1037/bul0000392
- Cassells, R., Freyens, B.P., & Jenkins, P. (2024). Narcissistic prosociality in social media campaigns: Findings from a survey quasi- experiment. Economics and Sociology, 17(4), 159-175. https://doi.org/10.14254/2071-789X.2024/17-4/9 DOI: https://doi.org/10.14254/2071-789X.2024/17-4/9
- Chadwick, A. (2017). The Hybrid Media System. Oxford University Press. DOI: https://doi.org/10.1093/oso/9780190696726.001.0001
- Coutinho, F., Dias, A., & F. Pereira, L. (2023). Credibility of social media influencers: Impact on purchase intention. Human Technology, 19(2), 220–237. https://doi.org/10.14254/1795-6889.2023.19-2.5 DOI: https://doi.org/10.14254/1795-6889.2023.19-2.5
- Dreston, J. H., & Neubaum, G. (2023). How incidental and intentional news exposure in social media relate to political knowledge and voting intentions. Frontiers in Psychology, 14, 1–13. https://doi.org/10.3389/fpsyg.2023.1250051 DOI: https://doi.org/10.3389/fpsyg.2023.1250051
- Ecker, U. K., Lewandowsky, S., Cook, J., Schmid, P., Fazio, L. K., Brashier, N., ... & Amazeen, M. A. (2022). The psychological drivers of misinformation belief and its resistance to correction. Nature Reviews Psychology, 1(1), 13-29. https://doi.org/10.1038/s44159-021-00006-y DOI: https://doi.org/10.1038/s44159-021-00006-y
- European Parliament, Brussels (2026). Flash Eurobarometer 3592 (Social Media Survey 2025) (ZA9078; Version 1.0.0) [Data set]. GESIS, Cologne. https://doi.org/10.4232/1.14703
- Falgoust, G., Winterlind, E., Moon, P., Parker, A., Zinzow, H., & Madathil, K. C. (2022). Applying the uses and gratifications theory to identify motivational factors behind young adult's participation in viral social media challenges on TikTok. Human Factors in Healthcare, 2. https://doi.org/10.1016/j.hfh.2022.100014 DOI: https://doi.org/10.1016/j.hfh.2022.100014
- Fletcher, R., & Nielsen, R. K. (2018). Are people incidentally exposed to news on social media? A comparative analysis. New Media & Society, 20(7), 2450-2468. https://doi.org/10.1177/1461444817724170 DOI: https://doi.org/10.1177/1461444817724170
- Fletcher, R., Cornia, A., & Nielsen, R. K. (2020). How polarized are online and offline news audiences? A comparative analysis of twelve countries. The international journal of press/politics, 25(2), 169-195. https://doi.org/10.1177/1940161219892768 DOI: https://doi.org/10.1177/1940161219892768
- Given, L. M., Case, D. O., & Willson, R. (2023). Looking for information: Examining research on how people engage with information. Emerald Publishing Limited. DOI: https://doi.org/10.1108/S2055-5377202315
- Guo, J., & Chen, H. T. (2022). How does multi-platform social media use lead to biased news engagement? Examining the role of counter-attitudinal incidental exposure, cognitive elaboration, and network homogeneity. Social Media+ Society, 8(4). https://doi.org/10.1177/20563051221129140 DOI: https://doi.org/10.1177/20563051221129140
- Guo, Z., Schlichtkrull, M., & Vlachos, A. (2022). A survey on automated fact-checking. Transactions of the association for computational linguistics, 10, 178-206. https://doi.org/10.1162/tacl_a_00454 DOI: https://doi.org/10.1162/tacl_a_00454
- Hameleers, M. (2022). Populist disinformation: Are citizens with populist attitudes affected most by radical right-wing disinformation?. Media and Communication, 10(4), 129-140. https://doi.org/10.17645/mac.v10i4.5654 DOI: https://doi.org/10.17645/mac.v10i4.5654
- Helberger, N., Van Drunen, M., Moeller, J., Vrijenhoek, S., & Eskens, S. (2022). Towards a normative perspective on journalistic AI: Embracing the messy reality of normative ideals. Digital Journalism, 10(10), 1605-1626. https://doi.org/10.1080/21670811.2022.2152195 DOI: https://doi.org/10.1080/21670811.2022.2152195
- Jędrzejewski, S., Kuźmicz, K., & Rae, G. (2024). The COVID-19 Pandemic in the Polish and British Media: A Content Analysis. In Risk and Crisis Communication in Europe (pp. 260-275). Routledge. DOI: https://doi.org/10.4324/9781003375296-18
- Johansson, E., & Nożewski, J. (2018). Polish and Swedish journalist-politician Twitter networks: Who are the gatekeepers?. Central European Journal of Communication, 11(2). https://doi.org/10.19195/1899-5101.11.2(21).2 DOI: https://doi.org/10.19195/1899-5101.11.2(21).2
- Kartal, M., & Tyran, J. R. (2022). Fake news, voter overconfidence, and the quality of democratic choice. American Economic Review, 112(10), 3367-3397. https://doi.org/10.1257/aer.20201844 DOI: https://doi.org/10.1257/aer.20201844
- Kim, S., Kim, K., & Xue, H. (2024). Fingerprints of conspiracy theories: Identifying signature information sources of a misleading narrative and their roles in shaping message content and dissemination. Journal of Online Trust and Safety, 2(2). https://doi.org/10.54501/jots.v2i2.152 DOI: https://doi.org/10.54501/jots.v2i2.152
- Klinger, U., & Svensson, J. (2015). The emergence of network media logic in political communication: A theoretical approach. New media & society, 17(8), 1241-1257. https://doi.org/10.1177/1461444814522952 DOI: https://doi.org/10.1177/1461444814522952
- Klinger, U., & Svensson, J. (2018). The end of media logics? On algorithms and agency. New media & society, 20(12), 4653-4670. https://doi.org/10.1177/1461444818779750 DOI: https://doi.org/10.1177/1461444818779750
- Koetke, J., Schumann, K., Bowes, S. M., & Vaupotič, N. (2025). The effect of seeing scientists as intellectually humble on trust in scientists and their research. Nature Human Behaviour, 9(2), 331-344. https://doi.org/10.1038/s41562-024-02060-x DOI: https://doi.org/10.1038/s41562-024-02060-x
- Li, X., Liu, Y., Yao, M. (2016). Openness, Activness, and Diversity of Information Exchange in the Context of Online Networks. In: Emerging Media. Uses and Dynamics, New York, Routledge.
- Lyons, B. A. (2023). Older Americans are more vulnerable to prior exposure effects in news evaluation. Harvard Kennedy School Misinformation Review. https://doi.org/https://doi.org/10.37016/mr-2020-118 DOI: https://doi.org/10.37016/mr-2020-118
- Mishchuk, H., Samoliuk, N., Krol, V., & Rącka, I. (2025). Digital competences of university graduates: Implications for career success. Human Technology, 21(2), 274–292. https://doi.org/10.14254/1795-6889.2025.21-2.2
- Motta, M., & Stecula, D. (2023). The effects of partisan media in the face of global pandemic: How news shaped COVID-19 vaccine hesitancy. Political Communication, 40(5), 505-526. https://doi.org/10.1080/10584609.2023.2187496 DOI: https://doi.org/10.1080/10584609.2023.2187496
- Nanz, A., & Matthes, J. (2025). Feeling informed or being informed about politics? Effects of first-and second-level incidental exposure on political surveillance knowledge and internal political efficacy. Information, Communication & Society, 28(15), 2702-2719. https://doi.org/10.1080/1369118X.2025.2472945 DOI: https://doi.org/10.1080/1369118X.2025.2472945
- 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 DOI: https://doi.org/10.1016/j.tics.2021.02.007
- Pérez-Escolar, M., Lilleker, D., & Tapia-Frade, A. (2023). A systematic literature review of the phenomenon of disinformation and misinformation. Media and communication, 11(2), 76-87. https://doi.org/10.17645/mac.v11i2.6453 DOI: https://doi.org/10.17645/mac.v11i2.6453
- Recuero, R. (2025). A systemic framework for disinformation on social media platforms. Platforms & Society, 2. https://doi.org/10.1177/2976862425136719 DOI: https://doi.org/10.1177/29768624251367199
- Schaetz, N., Gagrčin, E., Toth, R., & Emmer, M. (2025). Algorithm dependency in platformized news use. New media & society, 27(3), 1360-1377. https://doi.org/10.1177/14614448231193093 DOI: https://doi.org/10.1177/14614448231193093
- Schäfer, S. (2023). Incidental news exposure in a digital media environment: a scoping review of recent research. Annals of the International Communication Association, 47(2), 242-260, https://doi.org/10.1080/23808985.2023.2169953 DOI: https://doi.org/10.1080/23808985.2023.2169953
- Schinello, S. (2025). Challenges and opportunities in the use of artificial intelligence in creative economy: Insights from expert interviews. Economics and Sociology, 18(1), 199-216. https://doi.org/10.14254/2071-789X.2025/18-1/10 DOI: https://doi.org/10.14254/2071-789X.2025/18-1/10
- 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). https://doi.org/10.1371/journal.pone.0196087 DOI: https://doi.org/10.1371/journal.pone.0196087
- Skovsgaard, M., & Andersen, K. (2020). Conceptualizing news avoidance: Towards a shared understanding of different causes and potential solutions. Journalism studies, 21(4), 459-476. https://doi.org/10.1080/1461670X.2019.1686410 DOI: https://doi.org/10.1080/1461670X.2019.1686410
- Stefanova, D., Bacheva, K., & Vasilev, V. (2025, June). Conceptual Convergence: Disinformation, Fake News, and Information Influence as a Triad of Security Threats in the Context of Society 5.0. In Environment. Technology. Resources. Proceedings of the International Scientific and Practical Conference (Vol. 5, pp. 291-296). https://doi.org/10.17770/etr2025vol5.8470 DOI: https://doi.org/10.17770/etr2025vol5.8470
- Tsang, S. J. (2026). Misinformation, disinformation, and fake news? Proposing a typology framework of false information. Journalism, 27(3), 719-739. https://doi.org/10.1177/14648849241304380 DOI: https://doi.org/10.1177/14648849241304380
- Tunney, C., Thorson, E., & Chen, W. (2021). Following and avoiding fear-inducing news topics: Fear intensity, perceived news topic importance, self-efficacy, and news overload. Journalism Studies, 22(5), 614-632. https://doi.org/10.1080/1461670X.2021.1890636 DOI: https://doi.org/10.1080/1461670X.2021.1890636
- Usman, B., Eric Msughter, A., & Olaitan Ridwanullah, A. (2022). Social media literacy: fake news consumption and perception of COVID-19 in Nigeria. Cogent Arts & Humanities, 9(1). https://doi.org/10.1080/23311983.2022.2138011 DOI: https://doi.org/10.1080/23311983.2022.2138011
- Waddell, T. F. (2018). What does the crowd think? How online comments and popularity metrics affect news credibility and issue importance. New Media & Society, 20(8), 3068-3083. https://doi.org/10.1177/1461444817742905 DOI: https://doi.org/10.1177/1461444817742905
- Wimmer, L. (2025). Why Disinformation, Fake News, and Conspiracy Theories are not Fiction: A View From Philosophical Aesthetics and Literary Studies. Review of Philosophy and Psychology, 1-17. https://doi.org/10.1007/s13164-025-00775-y DOI: https://doi.org/10.1007/s13164-025-00775-y
