Something's Fishy About It: How Opinion Congeniality and Explainability Affect Motivated Attribution to Artificial Intelligence Versus Human Comment Moderators.

Journal: Cyberpsychology, behavior and social networking
Published Date:

Abstract

An online experiment ( = 384) examined when and how the identity of the comment moderator (artificial intelligence [AI] vs. human) on a news website affects the extent to which individuals (a) suspect political motives for comment removal and (b) believe in the AI heuristic ("AI is objective, neutral, accurate, and fair"). Specifically, we investigated how the provision of an explanation for comment removal (none vs. real vs. placebic), and opinion congeniality between the remaining comments and the user's opinion (uncongenial vs. congenial) qualify social responses to AI. Results showed that news users were more suspicious of political motives for an AI (vs. human) moderator's comment removal (a) when the remaining comments were uncongenial, and (b) when no explanation was offered for deleted comments. Providing a real explanation (vs. none) attenuated participants' suspicion of political motives behind comment removal, but only for the AI moderator. When AI moderated the comments section, the exposure to congenial (vs. uncongenial) comments led participants to endorse the AI heuristic more strongly, but only in the absence of an explanation for comment removal. By contrast, the participants' belief in AI heuristic was stronger when a human moderator preserved uncongenial (vs. congenial) comments. Apparently, they considered AI as a viable alternative to a human moderator whose performance was unsatisfactory.

Authors

  • Eun-Ju Lee
    Department of Communication, Seoul National University, Seoul, Republic of Korea.
  • Hyun Suk Kim
    1Department of Food Science and Biotechnology of Animal Resources, Konkuk University, Seoul, 05029 Korea.
  • Yoo Ji Suh
    School of Journalism and Mass Communication, University of Wisconsin-Madison, Madison, Wisconsin, USA.
  • Jin Won Park
    Department of Communication, Seoul National University, Seoul, Republic of Korea.