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Technologies, Ethics and Journalism’s Relationship with the Public

Author

Listed:
  • Megan Duncan

    (Department of Communication, Virginia Polytechnic Institute and State University, USA)

  • Kathleen Bartzen Culver

    (School of Journalism and Mass Communication, University of Wisconsin, USA)

Abstract

Drones can provide a bird’s eye view of breaking news and events that can be streamed live or used in edited news coverage. Past research has focused on the training and ethics of journalists and drone operators. Little attention, however, has been given to audiences and their acceptance and perception of ethics. We suggest that audiences who are open to personal technology use will perceive news media using unmanned aerial vehicles (UAVs) as more ethical in an extension of the Diffusion of Innovation Theory. In a survey (N = 548) of adults living in the United States, we explore the correlates between trust, technology, privacy, and the use of UAVs. Results suggest all three are positively correlated with openness toward drone journalism. We find the audience has preferences for the types of news stories that should be covered using drones. Participants indicated they welcome drone journalism when covering traffic and investigative stories, but not celebrities and politicians. The findings have implications for newsrooms, suggesting transparency and outreach to educate people on the technology could help build trust. Further, the results suggest that Diffusion of Innovation theory can be applied when mediated through news media.

Suggested Citation

  • Megan Duncan & Kathleen Bartzen Culver, 2020. "Technologies, Ethics and Journalism’s Relationship with the Public," Media and Communication, Cogitatio Press, vol. 8(3), pages 101-111.
    • Handle: RePEc:cog:meanco:v8:y:2020:i:3:p:101-111
    DOI: 10.17645/mac.v8i3.3039
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    References listed on IDEAS

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    1. Naresh K. Malhotra & Sung S. Kim & James Agarwal, 2004. "Internet Users' Information Privacy Concerns (IUIPC): The Construct, the Scale, and a Causal Model," Information Systems Research, INFORMS, vol. 15(4), pages 336-355, December.
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