Can AI Enhance People’s Support for Online Moderation and Their Openness to Dissimilar Political Views?

Magdalena Wojcieszak, Arti Thakur, João Fernando Ferreira Gonçalves, Andreu Casas, Ericka Menchen-Trevino, Miriam Boon

Research output: Contribution to journalArticlepeer-review

Abstract

Although artificial intelligence is blamed for many societal challenges, it also has underexplored potential in political contexts online. We rely on six preregistered experiments in three countries (N = 6,728) to test the expectation that AI and AI-assisted humans would be perceived more favorably than humans (a) across various content moderation, generation, and recommendation scenarios and (b) when exposing individuals to counter-attitudinal political information. Contrary to the preregistered hypotheses, participants see human agents as more just than AI across the scenarios tested, with the exception of news recommendations. At the same time, participants are not more open to counter-attitudinal information attributed to AI rather than a human or an AI-assisted human. These findings, which—with minor variations—emerged across countries, scenarios, and issues, suggest that human intervention is preferred online and that people reject dissimilar information regardless of its source. We discuss the theoretical and practical implications of these findings.
Original languageEnglish
Pages (from-to)223-243
Number of pages21
JournalJournal of Computer-Mediated Communication
Volume26
Issue number4
DOIs
Publication statusPublished - Jul 2021

Keywords

  • artificial intelligence
  • ai
  • content moderation
  • polarization

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