Online disinformation: an economic analysis

Authors

  • Gaetano Lisi

DOI:

https://doi.org/10.17811/ebl.12.4.2023.266-276

Keywords:

Information and Knowledge

Abstract

Internet and social networks have hugely increased the quantity of information available to a decision-maker. Unfortunately, this huge quantity of information also includes fake news and false news. Therefore, a decision-maker needs to carefully select the reliable sources of information. This theoretical and empirical paper studies the effects of online disinformation from an economic perspective. Precisely, it introduces the role of disinformation in the choice of the optimal level of information. In the presence of disinformation, of course, information is below its optimal level. Furthermore, if disinformation is regarded as true, a problem of poor quality of information exists in the economy. However, education helps to recognise disinformation. An empirical analysis substantiates the main insights of the theoretical model.

References

Baptista J.P., and Gradim, A. (2020). Understanding Fake News Consumption: A Review. Social Sciences. 2020; 9(10):185. https://doi.org/10.3390/socsci9100185.

Burkhardt, J. M. (2017). Combating Fake News in the Digital Age. Chicago: American Library Association, 53(8), 5-33.

Celliers M., Hattingh M. (2020) A Systematic Review on Fake News Themes Reported in Literature. In: Hattingh M., Matthee M., Smuts H., Pappas I., Dwivedi Y.K., Mäntymäki M. (eds) Responsible Design, Implementation and Use of Information and Communication Technology. I3E 2020. Lecture Notes in Computer Science, vol 12067. Springer, Cham. https://doi.org/10.1007/978-3-030-45002-1_19.

Craft, S., Ashley, S., and Maksl, A. (2017). News Media Literacy and Conspiracy Theory Endorsement. Communication and the Public, 2(4), 388–401.

Douglas, K. M., Sutton, R. M., Callan, M. J., Dawtry, R. J., and Harvey, A. J. (2016). Someone Is Pulling the Strings: Hypersensitive Agency Detection and Belief in Conspiracy Theories. Thinking & Reasoning, 22(1), 57–77.

European Commission, Directorate-General for Communications Networks, Content and Technology, A multi-dimensional approach to disinformation: report of the independent High level Group on fake news and online disinformation, Publications Office, 2018, https://data.europa.eu/doi/10.2759/0156.

Fallis, D., and Mathiesen, K. (2019). Fake news is counterfeit news, Inquiry, https://doi.org/10.1080/0020174X.2019.1688179.

Felipe Almeida, F., and Mortari, V. (2021). Smartphones, Social Networks, and Fake News: Institutional Economics Approach to Decision Making in the Twenty-First Century. Journal of Economic Issues, 55(2), 342-348.

Flintham, M., Karner, C., Bachour, K., Creswick, H., Gupta, N., and Moran, S. (2018). Falling for Fake News: Investigating the Consumption of News via Social Media. CHI '18: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. April 2018. Paper No.: 376. Pages 1–10. https://doi.org/10.1145/3173574.3173950.

Flynn, D. J., Nyhan, B., and Reifler, J. (2017). The Nature and Origins of Misperceptions: Understanding False and Unsupported Beliefs about Politics. Political Psychology, 38(S1), 127–150.

Gelfert, A. (2018). Fake News: A Definition. Informal Logic, 38(1), 84–117.

Hanson, J. (2007). 24/7: How Cell Phones and the Internet Change the Way We Live, Work, and Play. Westport, CT: Praeger Publisher .

Hardalov, M., Koychev, I. and Nakov, P. (2016). In Search of Credible News. In International Conference on Artificial Intelligence: Methodology, Systems, and Applications. Edited by Dichev, C., and Agre, G. Cham: Springer International Publishing, pp. 172–80.

Hou, L., Pan, X., and Liu, K. (2018). Balancing the popularity bias of object similarities for personalised recommendation. The European Physical Journal B, 91:47, 1-7.

Ireton, C., and Posetti, J. (2018). Journalism, ‘Fake News’ and Disinformation: Handbook for Journalism Education and Training. UNESCO Series on Journalism Education. Paris: UNESCO Publishing.

Jaster R., and Lanius, D. (2018). What Is Fake News? Versus 2(127), 207-227.

Kahne, J., and Bowyer, B. (2017). Educating for Democracy in a Partisan Age: Confronting the Challenges of Motivated Reasoning and Misinformation. American Educational Research Journal, 54(1), 3–34.

Kanoh, H. (2018). Why do people believe in fake news over the Internet? An understanding from the perspective of existence of the habit of eating and drinking. Procedia Computer Science, 126, 1704-1709.

Kshetri, Nir and Voas, J. (2017). The Economics of “Fake News”, IEEE IT Professional 19(6), 8-12. https://doi.org/10.1109/MITP.2017.4241459.

Leeder, C. (2019). How College Students Evaluate and Share ‘Fake News’ Stories. Library & Information Science Research, 41(3), 100967.

Lewis, A. and Marwick, A. (2017). Taking the Red Pill: Ideological Motivations for Spreading Online Disinformation. Understanding and Addressing the Disinformation Ecosystem, University of Pennsylvania Annenberg School for Communication, Philadelphia, PA, Lewis, December 15 – 16, 2017.

Lex, E., Wagner, M., and Kowald, D. (2018). Mitigating Confirmation Bias on Twitter by Recommending Opposing Views. ArXiv, abs/1809.03901.

Marwick, A. E. (2018). Why Do People Share Fake News? A Sociotechnical Model of Media Effects. Georgetown Law Technology Review, 2.2, 474–512.

McIntyre, L. (2018). Post-Truth. Cambridge, MA: MIT Press.

Meneses, J. P. (2018). Sobre a necessidade de conceptualizar o fenómeno das fake news (On the need to conceptualize the phenomenon of fake news). Observatorio (OBS*) Special Issue, 37-53.

Mohseni, S., and Ragan, E. D. (2018). Combating Fake News with Interpretable News Feed Algorithm. ArXiv, abs/1811.12349.

Newman, N., Fletcher, R., Kalogeropoulos, A., and Nielsen, R. (2019). Reuters Institute Digital News Report 2019. Oxford: Reuters Institute for the Study of Journalism.

Nielsen, R. K., and Graves, L. (2017). “News You Don’t Believe”: Audience Perspectives on Fake News. Oxford: Reuters Institute for the Study of Journalism, October.

Pepp, J., Eliot Michaelson, E., and Sterken, R. K. (2019). What’s New about Fake News. Journal of Ethics and Social Philosophy 16(2), 67-94.

Pop, M.-I., and Ene, I. (2019). Influence of the educational level on the spreading of fake news regarding the energy field in the online environment. Proceedings of the 13th International Conference on Business Excellence, 13(1), 1108-1117. https://doi.org/10.2478/picbe-2019-0097.

Reuter, C., Hartwig, K., Kirchner, J., and Schlegel, N. (2019). Fake News Perception in Germany: A Representative Study of People’s Attitudes and Approaches to Counteract Disinformation, 14th International Conference on Wirtschaftsinformatik, February 24-27, 2019, Siegen, Germany. Available online: https://aisel.aisnet.org/wi2019/track09/papers/5/.

Tandoc, E. C., Ling, R., Westlund, O., Duffy, A., Goh, D., and Wei, L. Z. (2018). Audiences’ acts of Authentication in the Age of Fake News: A Conceptual Framework. New Media & Society 20(8), 2745–2763.

Walters, R. M. (2019). How to Tell a Fake: Fighting Back against Fake News on the Front Lines of Social Media. Texas Review of Law and Politics, 23(1), 111-179.

Zimmer, F., Scheibe, K., Stock, M., and Stock, G. M. (2019a). Fake News in Social Media: Bad Algorithms or Biased Users? Journal of Information Science Theory and Practice, 7(2), 40–53.

Zimmer, F., Scheibe, K., Stock, M., and Stock, G. M. (2019b). Echo Chambers and Filter Bubbles of Fake News in Social Media. Man-Made or Produced by Algorithms. Paper presented at the 8th Annual Arts, Humanities, Social Sciences & Education Conference, Honolulu, HI, USA, January 3–6, 1–22.

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Published

15-12-2023

How to Cite

Lisi, G. (2023). Online disinformation: an economic analysis. Economics and Business Letters, 12(4), 266–276. https://doi.org/10.17811/ebl.12.4.2023.266-276

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