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Engaging the Audience with Biased News: An Exploratory Study on Prejudice and Engagement

  • Alessandra G. Ciancone Chama
  • Merylin Monaro
  • Eugenio Piccoli
  • Luciano Gamberini
  • Anna SpagnolliEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11433)

Abstract

The persuasiveness of a narrative is increased by the audience’s engagement with it, which in turn depends on the extent to which its needs and goals are served by the narrative. This study considers whether indulging the audience’s prejudice might be a way to serve their needs and increase engagement. Two different versions of a news videoclip, one neutral and one prejudiced, were displayed in a between-participants design (N = 44). The participants’ familiarity with the topic and prejudice against it were measured, and their effect on the engagement with the two types of video was tested. The analysis shows an indifference for biased content, equally engaging than nonbiased; they also show an effect of familiarity. These first results are relevant to the current debate about biased news and the potential manipulative role of personalized content recommendations.

Keywords

Engagement Prejudice News Narrative persuasion 

Notes

Acknowledgments

We thank Roberto Barattini for having recorded his voice as a narrator in the video.

References

  1. 1.
    Appel, M.: Fictional narratives cultivate just-world beliefs. J. Commun. 58(1), 62–83 (2008)CrossRefGoogle Scholar
  2. 2.
    Behling, O., Law, K.S.: Translating Questionnaires and Other Research Instruments: Problems and Solutions, vol. 133. Sage, Thousand Oaks (2000)CrossRefGoogle Scholar
  3. 3.
    Bruner, J.S.: Actual Minds. Possible Worlds. Harvard University Press, Cambridge (2009)Google Scholar
  4. 4.
    Busselle, R., Bilandzic, H.: Measuring narrative engagement. Media Psychol. 12(4), 321–347 (2009)CrossRefGoogle Scholar
  5. 5.
    Cassidy, B.S., Sprout, G.T., Freeman, J.B., Krendl, A.C.: Looking the part (to me): effects of racial prototypically on race perception vary by prejudice. Soc. Cogn. Affect. Neurosci. 12(4), 685–694 (2017)CrossRefGoogle Scholar
  6. 6.
    Dal Cin, S., Zanna, M.P., Fong, G.T.: Narrative persuasion and overcoming resistance. In: Knowles, E.S., Linn, J.A. (eds.) Resistance and Persuasion, pp. 175–191. Erlbaum, London (2004)Google Scholar
  7. 7.
    Doherty, K., Doherty, G.: Engagement in HCI: conception, theory and measurement. ACM Comput. Surv. 51(5), 99 (2018)CrossRefGoogle Scholar
  8. 8.
    Fogg, B.J.: Persuasive Technology: Using Computers to Change What We Think and Do. Morgan Kaufmann, San Francisco (2003)CrossRefGoogle Scholar
  9. 9.
    Freeman, J.B., Ambady, N.: Motions of the hand expose the partial and parallel activation of stereotypes. Psychol. Sci. 20(10), 1183–1188 (2009)CrossRefGoogle Scholar
  10. 10.
    Freeman, J.B., Ambady, N.: MouseTracker. Behav. Res. Methods 42, 226–241 (2010)CrossRefGoogle Scholar
  11. 11.
    Freeman, J.B., Pauker, K., Apfelbaum, E.P., Ambady, N.: Continuous dynamics in the real-time perception of race. JESP 46, 179–185 (2010)Google Scholar
  12. 12.
    Freeman, J.B., Pauker, K., Sanchez, D.T.: A perceptual pathway to bias: interracial exposure reduces abrupt shifts in real-time race perception that predict mixed-race bias. Psychol. Sci. 27(4), 502–517 (2016)CrossRefGoogle Scholar
  13. 13.
    Green, M.C.: Transportation into narrative worlds: the role of prior knowledge and perceived realism. Discourse Process. 38(2), 247–266 (2004)CrossRefGoogle Scholar
  14. 14.
    Green, M.C., Brock, T.C.: The role of transportation in the persuasiveness of public narratives. JPSP 79(5), 701 (2000)Google Scholar
  15. 15.
    Greenwald, A.G., Nosek, B.A., Banaji, M.R.: Understanding and using the implicit association test: I. An improved scoring algorithm. J. Pers. Soc. Psychol. 85, 197–216 (2003)CrossRefGoogle Scholar
  16. 16.
    Lavie, T., Sela, M., Oppenheim, I., Inbar, O., Meyer, J.: User attitudes towards news content personalization. IJHCS 68(8), 483–495 (2010)Google Scholar
  17. 17.
    Masthoff, J.: Group recommender systems: combining individual models. In: Ricci, F., Rokach, L., Shapira, B., Kantor, P.B. (eds.) Recommender Systems Handbook, pp. 677–702. Springer, Boston, MA (2011).  https://doi.org/10.1007/978-0-387-85820-3_21CrossRefGoogle Scholar
  18. 18.
    McCay-Peet, L., Lalmas, M., Navalpakkam, V.: On saliency, affect and focused attention. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 541–550. ACM, New York (2012)Google Scholar
  19. 19.
    O’Brien, H.L.: Exploring user engagement in online news interactions. Proc. Am. Soc. Inf. Sci. Technol. 48(1), 1–10 (2011)CrossRefGoogle Scholar
  20. 20.
    O’Brien, H.L.: The role of story and media in user engagement with online news. In: Proceedings of the 41st Canadian Association for Information Science Conference, Victoria, British Columbia (2013)Google Scholar
  21. 21.
    O’Brien, H.: Theoretical perspectives on user engagement. In: O’Brien, H., Cairns, P. (eds.) Why Engagement Matters, pp. 1–26. Springer, Cham (2016).  https://doi.org/10.1007/978-3-319-27446-1_1CrossRefGoogle Scholar
  22. 22.
    O’Brien, H.L., Cairns, P.: An empirical evaluation of the user engagement scale (UES) in online news environments. IPM 51, 413–427 (2015)Google Scholar
  23. 23.
    O’Brien, H.L., Cairns, P., Hall, M.: A practical approach to measuring user engagement with the refined user engagement scale (UES) and new UES short form. IJHCS 112, 28–39 (2018)Google Scholar
  24. 24.
    O’Brien, H.L., McKay, J.: What makes online news interesting? Personal and situational interest and the effect on behavioral intentions. In: Proceedings of the ASIST Conference, Copenhagen, Denmark, 15–19 October 2016, 6 p. (2016)Google Scholar
  25. 25.
    O’Brien, H.L., Toms, K.K., Kelley, E.: The development and evaluation of a survey to measure user engagement. JASIST 61(1), 50–69 (2010)CrossRefGoogle Scholar
  26. 26.
    Ochs, E., Capps, L.: Living Narrative: Creating Lives in Everyday Storytelling. Harvard University Press, Cambridge (2009)Google Scholar
  27. 27.
    Slater, M.D., Rouner, D.: Entertainment-education and elaboration likelihood: understanding the processing of narrative persuasion. Commun. Theory 12(2), 173–191 (2002)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of General Psychology and HIT Research CentreUniversity of PadovaPaduaItaly

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