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An empirical study on Internet-based false news stories: experiences, problem awareness, and responsibilities

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  • Gruener, Sven

Abstract

The Internet has significantly reduced the marginal costs of generating and disseminating information. The human information portfolio includes correct and incorrect information. False news stories constitute a challenge for our democracy. Therefore, scientists are increasingly interested in redesigning the information ecosystem. This paper addresses the problem awareness of university students in the realm of false news stories. With the help of a questionnaire, we seek for interesting correlations to generate hypotheses that can be analyzed in further studies with new data (i.e., exploratory study). The hypotheses read as follows: (i) Facebook users are more likely to suspect to be in touch with false news stories if they are interested in politics. People are less likely to assume to deal with false news stories the stronger they trust in others and the more emphasis they put on the opinions of others, (ii) False news stories are perceived as a problem at the societal level but not at the individual level, (iii) Men more often than women believe to be in touch with false news stories; men overestimate their ability to spot false news stories. People who fear false news stories are likely to believe that they could detect such information better than the average, and (iv) People see operators of platforms to be in charge of false news stories; people seem to have less confidence in the government.

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  • Gruener, Sven, 2020. "An empirical study on Internet-based false news stories: experiences, problem awareness, and responsibilities," OSF Preprints 8ezdn, Center for Open Science.
    • Handle: RePEc:osf:osfxxx:8ezdn
    DOI: 10.31219/osf.io/8ezdn
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    1. Gregory Lewis, 2011. "Asymmetric Information, Adverse Selection and Online Disclosure: The Case of eBay Motors," American Economic Review, American Economic Association, vol. 101(4), pages 1535-1546, June.
    2. Hirschauer, Norbert & Grüner, Sven & Mußhoff, Oliver & Becker, Claudia & Jantsch, Antje, 2020. "Can p-values be meaningfully interpreted without random sampling?," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 14, pages 71-91.
    3. Dhami, Sanjit, 2016. "The Foundations of Behavioral Economic Analysis," OUP Catalogue, Oxford University Press, number 9780198715535.
    4. Catherine C. Eckel & Philip J. Grossman, 2000. "Volunteers and Pseudo-Volunteers: The Effect of Recruitment Method in Dictator Experiments," Experimental Economics, Springer;Economic Science Association, vol. 3(2), pages 107-120, October.
    5. Ron Berman & Zsolt Katona, 2020. "Curation Algorithms and Filter Bubbles in Social Networks," Marketing Science, INFORMS, vol. 39(2), pages 296-316, March.
    6. Rachel Croson & Uri Gneezy, 2009. "Gender Differences in Preferences," Journal of Economic Literature, American Economic Association, vol. 47(2), pages 448-474, June.
    7. A. Colin Cameron & Pravin K. Trivedi, 2010. "Microeconometrics Using Stata, Revised Edition," Stata Press books, StataCorp LP, number musr, March.
    8. Heidi J. Larson, 2020. "Blocking information on COVID-19 can fuel the spread of misinformation," Nature, Nature, vol. 580(7803), pages 306-306, April.
    9. Ronald L. Wasserstein & Allen L. Schirm & Nicole A. Lazar, 2019. "Moving to a World Beyond “p," The American Statistician, Taylor & Francis Journals, vol. 73(S1), pages 1-19, March.
    10. Shane Frederick, 2005. "Cognitive Reflection and Decision Making," Journal of Economic Perspectives, American Economic Association, vol. 19(4), pages 25-42, Fall.
    11. Max Rollwage & Alisa Loosen & Tobias U. Hauser & Rani Moran & Raymond J. Dolan & Stephen M. Fleming, 2020. "Confidence drives a neural confirmation bias," Nature Communications, Nature, vol. 11(1), pages 1-11, December.
    12. Richard H. Thaler, 2016. "Behavioral Economics: Past, Present, and Future," American Economic Review, American Economic Association, vol. 106(7), pages 1577-1600, July.
    13. Russell Golman & David Hagmann & George Loewenstein, 2017. "Information Avoidance," Journal of Economic Literature, American Economic Association, vol. 55(1), pages 96-135, March.
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    1. Grüner, Sven, 2020. "Identifying and debunking environmental-related false news stories – An experimental study," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224621, Verein für Socialpolitik / German Economic Association.

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