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International Conference on Human-Computer Interaction

HCI 2018: Human-Computer Interaction. Theories, Methods, and Human Issues pp 307–324Cite as

Reading Machine-Written News: Effect of Machine Heuristic and Novelty on Hostile Media Perception

Part of the Lecture Notes in Computer Science book series (LNISA,volume 10901)

Abstract

The use of artificial intelligence (AI) in news production has been increasing these days. Its inanimate nature might bring opportunities to suppress hostile media effect by reducing readers’ emotional involvement. This study conducted an online experiment (N = 175) to examine how the identity of news writers, human vs. robot, might impact readers’ perceptions of news and source credibility. Findings suggest that readers holding machine heuristic, i.e., those who saw machine as free of intention, experienced less emotional involvement when the news was purported to be written by a news writing algorithm, as compared with when reading human-written news. Lower level of emotional involvement further led to less perception of bias in the news and the extremity of news slant. However, perceived novelty associated with robot news writer, although enhanced positive perceptions of the news, intensified readers’ emotional involvement, which further heightened hostile media perceptions. Findings in this study identified the mechanisms underlying effects of AI writer in the context of controversial news topics. Implications are discussed under theoretical frameworks of general information processing, hostile media effect and MAIN model.

Keywords

  • Robot journalism
  • Machine heuristic
  • Emotional involvement
  • Hostile media effect

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References

  • Appelman, A., Sundar, S.S.: Measuring message credibility: construction and validation of an exclusive scale. Journal. Mass Commun. Q. 93, 59–79 (2016)

    CrossRef  Google Scholar 

  • Arpan, L.M., Peterson, E.M.: Influence of source liking and personality traits on perceptions of bias and future news source selection. Media Psychol. 11, 310–329 (2008)

    CrossRef  Google Scholar 

  • Arpan, L.M., Raney, A.A.: An experimental investigation of news source and the hostile media effect. Journal. Mass Commun. Q. 80, 265–281 (2003)

    CrossRef  Google Scholar 

  • Bellur, S., Sundar, S.S.: How can we tell when a heuristic has been used? Design and analysis strategies for capturing the operation of heuristics. Commun. Methods Meas. 8, 116–137 (2014)

    CrossRef  Google Scholar 

  • Brehm, S.S., Brehm, J.W.: Psychological Reactance: A Theory of Freedom and Control. Academic Press, San Diego (1981)

    MATH  Google Scholar 

  • Carroll, E.C.: Making news: balancing newsworthiness and privacy in the age of algorithms. Georget. Law J., 1–42 (2017)

    Google Scholar 

  • Chen, S., Chaiken, S.: The heuristic-systematic model in its broader context. In: Chaiken, S., Trope, Y. (eds.) Dual-Process Theories in Social Psychology, pp. 73–96. Guilford Press, New York (1999)

    Google Scholar 

  • Cho, H., Boster, F.J.: Development and validation of value-, outcome-, and impression-relevant involvement scales. Commun. Res. 32, 235–264 (2005)

    CrossRef  Google Scholar 

  • Choi, J., Yang, M., Chang, J.J.: Elaboration of the hostile media phenomenon the roles of involvement, media skepticism, congruency of perceived media influence, and perceived opinion climate. Commun. Res. 36, 54–75 (2009)

    CrossRef  Google Scholar 

  • Cox, M.: The development of computer-assisted reporting. Paper presented to the Newspaper Division, Association for Education in Journalism and Mass Communication, Southeast Colloquium, March 1718, University of North Carolina, Chapel Hill (2000)

    Google Scholar 

  • DeMott, J.: ‘Interpretative’ news stories compared with ‘spot’ news. Journal. Q. 50, 102–108 (1973)

    CrossRef  Google Scholar 

  • Dillard, J.P., Shen, L.: On the nature of reactance and its role in persuasive health communication. Commun. Monogr. 72, 144–168 (2005)

    CrossRef  Google Scholar 

  • Edwards, C., Edwards, A., Spence, P.R., Shelton, A.K.: Is that a bot running the social media feed? Testing the differences in perceptions of communication quality for a human agent and a bot agent on Twitter. Comput. Hum. Behav. 33, 372–376 (2014)

    CrossRef  Google Scholar 

  • Elliot, A.J., Devine, P.G.: On the motivational nature of cognitive dissonance: dissonance as psychological discomfort. J. Pers. Soc. Psychol. 67, 382–394 (1994)

    CrossRef  Google Scholar 

  • Feldman, L., Hart, P.S., Leiserowitz, A., Maibach, E., Roser-Renouf, C.: Do hostile media perceptions lead to action? The role of hostile media perceptions, political efficacy, and ideology in predicting climate change activism. Commun. Res., 1–26 (2015)

    Google Scholar 

  • Ferrey, A.E., Burleigh, T.J., Fenske, M.J.: Stimulus-category competition, inhibition, and affective devaluation: a novel account of the uncanny valley. Front. Psychol. 6, 249 (2015)

    CrossRef  Google Scholar 

  • Gambino, A., Kim, J.: An algorithm wrote this? Psychological responses to AI news writers: eeriness, branding, and credibility. Poster presented at the 2015 Human-Computer Interaction Consortium (HCIC): Theory, Watsonville, CA, July 2015. http://comm.psu.edu/medialab/research-article/man-versus-machine

  • Gunther, A.C.: Biased press or biased public? Attitudes toward media coverage of social groups. Public Opin. Q. 56, 147–167 (1992)

    CrossRef  Google Scholar 

  • Grandpre, J., Alvaro, E.M., Burgoon, M., Miller, C.H., Hall, J.R.: Adolescent reactance and anti-smoking campaigns: a theoretical approach. Health Commun. 15, 349–366 (2003)

    CrossRef  Google Scholar 

  • Gunther, A.C., Chia, S.C.Y.: Predicting pluralistic ignorance: the hostile media perception and its consequences. Journal. Mass Commun. Q. 78, 688–701 (2001)

    CrossRef  Google Scholar 

  • Gunther, A.C., Liebhart, J.L.: Broad reach or biased source? Decomposing the hostile media effect. J. Commun. 56, 449–466 (2006)

    CrossRef  Google Scholar 

  • Gunther, A.C., Schmitt, K.: Mapping boundaries of the hostile media effect. J. Commun. 54, 55–70 (2004)

    CrossRef  Google Scholar 

  • Hayes, A.F.: Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach. Guilford Press, New York (2013)

    Google Scholar 

  • Ho, C.C., MacDorman, K.F.: Revisiting the uncanny valley theory: developing and validating an alternative to the Godspeed indices. Comput. Hum. Behav. 26, 1508–1518 (2010)

    CrossRef  Google Scholar 

  • Hwang, H., Pan, Z., Sun, Y.: Influence of hostile media perception on willingness to engage in discursive activities: an examination of mediating role of media indignation. Media Psychol. 11, 76–97 (2008)

    CrossRef  Google Scholar 

  • IPCC: Climate Change 2014: Synthesis Report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change/Geneva, Switzerland (2014)

    Google Scholar 

  • Kätsyri, J., Förger, K., Mäkäräinen, M., Takala, T.: A review of empirical evidence on different uncanny valley hypotheses: support for perceptual mismatch as one road to the valley of eeriness. Front. Psychol. 6, 390 (2015)

    CrossRef  Google Scholar 

  • Kim, J., Sundar, S.S.: Human control or machine control-which do we trust? The role of control and machine heuristic in online information disclosure. Paper presented at Annual Conference of Association for Education in Journalism and Mass Communication, Minneapolis, MN (2016)

    Google Scholar 

  • Kruglanski, A.W., Thompson, E.P.: Persuasion by a single route: a view from the unimodel. Psychol. Inq. 10, 83–109 (1999)

    CrossRef  Google Scholar 

  • Latar, N.L.: The robot journalist in the age of social physics: the end of human journalism? In: Einav, G. (ed.) The New World of Transitioned Media. TEICE, pp. 65–80. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-09009-2_6

    CrossRef  Google Scholar 

  • Marshall, S.: Robot reporters: A look at the computers writing the news. Journalism.co.uk, 12 March 2013. https://www.journalism.co.uk/news/robot-reporters-how-computers-are-writing-la-times-articles/s2/a552359/

  • Matthes, J.: The affective underpinnings of hostile media perceptions: exploring the distinct effects of affective and cognitive involvement. Commun. Res. 40, 360–387 (2013)

    CrossRef  Google Scholar 

  • Matthes, J., Beyer, A: Toward a cognitive-affective process model of hostile media perceptions: a multi-country structural equation modeling approach. Commun. Res., 1–24 (2015)

    Google Scholar 

  • McCright, A.M., Dunlap, R.E.: Cool dudes: the denial of climate change among conservative white males in the United States. Glob. Environ. Change 21, 1163–1172 (2011)

    CrossRef  Google Scholar 

  • McCroskey, J.C., Teven, J.J.: Goodwill: a reexamination of the construct and its measurement. Commun. Monogr. 66, 90–103 (1999)

    CrossRef  Google Scholar 

  • Miller, C.H., Lane, L.T., Deatrick, L.M., Young, A.M., Potts, K.A.: Psychological reactance and promotional health messages: the effects of controlling language, lexical concreteness, and the restoration of freedom. Hum. Commun. Res. 33, 219–240 (2007)

    Google Scholar 

  • Minsky, M.: The Emotion Machine: Commonsense Thinking, Artificial Intelligence, and the Future of the Human Mind. Pantheon, New York (2006)

    Google Scholar 

  • Mori, M.: The uncanny valley. Energy 7, 33–35 (1970)

    Google Scholar 

  • Moriguchi, Y., Negreira, A., Weierich, M., Dautoff, R., Dickerson, B.C., Wright, C.I., Barrett, L.F.: Differential hemodynamic response in affective circuitry with aging: an FMRI study of novelty, valence, and arousal. J. Cogn. Neurosci. 23, 1027–1041 (2011)

    CrossRef  Google Scholar 

  • Nisbet, M.C., Myers, T.: The polls—trends twenty years of public opinion about global warming. Public Opin. Q. 71, 444–470 (2007)

    CrossRef  Google Scholar 

  • Ohanian, R.: Construction and validation of a scale to measure celebrity endorsers’ perceived expertise, trustworthiness, and attractiveness. J. Advert. 19, 39–52 (1990)

    CrossRef  Google Scholar 

  • Örnebring, H.: Technology and journalism-as-labour: historical perspectives. Journalism 11(1), 57–74 (2010)

    CrossRef  Google Scholar 

  • Rains, S.A.: The nature of psychological reactance revisited: a meta-analytic review. Hum. Commun. Res. 39, 47–73 (2013)

    CrossRef  Google Scholar 

  • Schomaker, J., Meeter, M.: Short-and long-lasting consequences of novelty, deviance and surprise on brain and cognition. Neurosci. Biobehav. Rev. 55, 268–279 (2015)

    CrossRef  Google Scholar 

  • Seyama, J.I., Nagayama, R.S.: The uncanny valley: effect of realism on the impression of artificial human faces. Presence Teleoperators Virtual Environ. 16(4), 337–351 (2007)

    CrossRef  Google Scholar 

  • Stein, J.P., Ohler, P.: Venturing into the uncanny valley of mind—the influence of mind attribution on the acceptance of human-like characters in a virtual reality setting. Cognition 160, 43–50 (2017)

    CrossRef  Google Scholar 

  • Shen, L.: The effectiveness of empathy-versus fear-arousing antismoking PSAs. Health Commun. 26, 404–415 (2011)

    CrossRef  Google Scholar 

  • Sundar, S.S.: The MAIN model: a heuristic approach to understanding technology effects on credibility. In: Metzger, M.J., Flanagin, A.J. (eds.) Digital Media, Youth, and Credibility, pp. 73–100. The MIT Press, Cambridge (2008)

    Google Scholar 

  • Sundar, S.S., Nass, C.: Conceptualizing sources in online news. J. Commun. 51, 52–72 (2001)

    CrossRef  Google Scholar 

  • Sundar, S.S., Tamul, D.J., Wu, M.: Capturing “cool”: measures for assessing coolness of technological products. Int. J. Hum. Comput. Stud. 72, 169–180 (2014)

    CrossRef  Google Scholar 

  • Tsfati, Y., Cohen, J.: The influence of presumed media influence on democratic legitimacy: the case of Gaza settlers. Commun. Res. 32, 794–821 (2005)

    CrossRef  Google Scholar 

  • Vallone, R.P., Ross, L., Lepper, M.R.: The hostile media phenomenon: biased perception and perceptions of media bias in coverage of the Beirut massacre. J. Pers. Soc. Psychol. 49, 577–585 (1985)

    CrossRef  Google Scholar 

  • van Dalen, A.: The algorithms behind the headlines: how machine-written news redefines the core skills of human journalists. Journal. Pract. 6, 648–658 (2012)

    Google Scholar 

  • Van der Kaa, H., Krahmer, E.: Journalist versus news consumer: the perceived credibility of machine written news. In: Proceedings of the Computation+Journalism Conference, pp. 24–25. Columbia University, New York (2014)

    Google Scholar 

  • Weierich, M.R., Wright, C.I., Negreira, A., Dickerson, B.C., Barrett, L.F.: Novelty as a dimension in the affective brain. Neuroimage 49, 2871–2878 (2010)

    CrossRef  Google Scholar 

  • Wells, J.D., Campbell, D.E., Valacich, J.S., Featherman, M.: The effect of perceived novelty on the adoption of information technology innovations: a risk/reward perspective. Decis. Sci. 41, 813–843 (2010)

    CrossRef  Google Scholar 

  • Wired: Robots wrote this, 29 August 2006. https://www.wired.com/2006/08/robots-wrote-this/. Accessed 2 Nov 2018

  • Wirth, W.: Involvement. In: Bryant, J., Vorderer, P. (eds.) Psychology of Entertainment, pp. 199–213. Erlbaum, Mahwah (2006)

    Google Scholar 

  • Worchel, S.: The effect of three types of arbitrary thwarting on the instigation to aggression. J. Pers. 42, 300–318 (1974)

    CrossRef  Google Scholar 

  • Zillmann, D.: Excitation transfer in communication-mediated aggressive behavior. J. Exp. Soc. Psychol. 7, 419–434 (1971)

    CrossRef  Google Scholar 

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Authors and Affiliations

  1. Donald P. Bellisario College of Communications, The Pennsylvania State University, University Park, PA, 16802, USA

    Bingjie Liu & Lewen Wei

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  1. Bingjie Liu
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  2. Lewen Wei
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Correspondence to Bingjie Liu .

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  1. The Open University of Japan, Chiba, Japan

    Masaaki Kurosu

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Liu, B., Wei, L. (2018). Reading Machine-Written News: Effect of Machine Heuristic and Novelty on Hostile Media Perception. In: Kurosu, M. (eds) Human-Computer Interaction. Theories, Methods, and Human Issues. HCI 2018. Lecture Notes in Computer Science(), vol 10901. Springer, Cham. https://doi.org/10.1007/978-3-319-91238-7_26

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  • DOI: https://doi.org/10.1007/978-3-319-91238-7_26

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