Advertisement

Believability of News

Understanding Users Perceptions of Fake News and the Effectiveness of Fact-Checking Badges
  • André Calero Valdez
  • Martina Ziefle
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 822)

Abstract

When social media becomes a dominant channel for the distribution of news, manipulation of the news agenda and news content can be achieved by anyone who is hosting a website with access to social media APIs. Falsehoods masked as legitimate news with the intent to manipulate the public are called Fake News. This type of propaganda is disseminated by sharing of individual social media users. Fake news pose a threat to democracies as they influence the public agenda and contribute to polarization of opinions. To limit the dissemination of fake news, social media websites utilize fact-checking badges to flag possibly fabricated content. It has however not been investigated whether these badges are effective and who responds to them. In a survey study with 120 participants we found little evidence for the effectiveness of such badges. However, believability of news in a social media sites were generally rated rather low.

Keywords

Fake news User study Fact checking Personality Social media Opinion formation 

Notes

Acknowledgements

We would like to thank the anonymous participants for sharing this intimate data with us and Isabell Busch, Claudia Gerke, Vanessa Götzl, Nicole Kuska and Vivian Lotz for designing the news items and helping with sampling. This research was supported by the Digital Society research program funded by the Ministry of Culture and Science of the German State of North Rhine-Westphalia. The authors thank the German Research Council DFG for the friendly support of the research in the excellence cluster “Integrative Production Technology in High Wage Countries”.

References

  1. 1.
    Allcott Hunt, Gentzkow Matthew (2017) Social media and fake news in the 2016 election. J Econ Perspect 31(2):211–236CrossRefGoogle Scholar
  2. 2.
    Lazer DM, Baum MA, Benkler Y, Berinsky AJ, Greenhill KM, Menczer F, Schudson M (2018) The science of fake news. Science 359(6380):1094–1096CrossRefGoogle Scholar
  3. 3.
    Berghel H (2017) Lies, damn lies, and fake news. Computer 50(2):80–85CrossRefGoogle Scholar
  4. 4.
    Rogers EM, Cartano DG (1962) Methods of measuring opinion leadership. Public Opin Q 435–441Google Scholar
  5. 5.
    Childers TL (1986) Assessment of the psychometric properties of an opinion leadership scale. J Mark Res 184–188Google Scholar
  6. 6.
    Zaller J (1990) Political awareness, elite opinion leadership, and the mass survey response. Soc Cogn 8(1):125–153CrossRefGoogle Scholar
  7. 7.
    Dimitrova DV et al (2014) The effects of digital media on political knowledge and participation in election campaigns: evidence from panel data. Commun Res 41(1):95–118CrossRefGoogle Scholar
  8. 8.
    Kaplan AM, Haenlein M (2010) Users of the world, unite! The challenges and opportunities of Social Media. Bus Horiz 53(1):59–68CrossRefGoogle Scholar
  9. 9.
    Pariser E (2011) The filter bubble: what the Internet is hiding from you. Penguin, LondonGoogle Scholar
  10. 10.
    Bozdag E, van den Hoven J (2015) Breaking the filter bubble: democracy and design. Ethics Inf Technol 17(4):249–265CrossRefGoogle Scholar
  11. 11.
    Kosinski M, Stillwell D, Graepel T (2013) Private traits and attributes are predictable from digital records of human behavior. PNAS 110(15):5802–5805CrossRefGoogle Scholar
  12. 12.
    Hart CM, Ritchie TD, Hepper EG, Gebauer JE (2015) The balanced inventory of desirable responding short form (BIDR-16). Sage Open 5(4):2158244015621113CrossRefGoogle Scholar
  13. 13.
    Calero Valdez A, Ziefle M, Sedlmair M (2018) Priming and anchoring effects in visualization. IEEE Trans Visual Comput Graph 24(1):584–594CrossRefGoogle Scholar
  14. 14.
    Calero Valdez A, Brauner P, Ziefle M, Kuhlen TW, Sedlmair M (2016) Human factors in information visualization and decision support systems. In: Mensch and computer 2016–workshop bandGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Human-Computer Interaction CenterRWTH Aachen UniversityAachenGermany

Personalised recommendations