A cross-national examination of the effects of accuracy nudges and content veracity labels on belief in and sharing of misleading news

Michael Chan*, Jingjing Yi, Cristian Vaccari, Masahiro Yamamoto

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

This study examined whether accuracy nudges and content veracity labels enhance people’s discernment in believing and sharing true versus false news. Participants in the U.K., the U.S., and Hong Kong were shown five true and five false social media posts in random order. Two true posts and two false posts were randomly assigned “True” and “False” labels, respectively. Multilevel regression models indicated that accuracy nudges and veracity labels had no direct effects on the perceived accuracy of posts or willingness to share them, though the interaction of the “False” label and accuracy nudge significantly reduced the perceived accuracy of and intention to share false news across the samples. Post-hoc analyses further uncovered contingent effects based on individual differences, including partisan identity in the U.S. and conspiratorial thinking in the U.K. and Hong Kong. The findings demonstrate the efficacy of combined countermeasures in attenuating the effects of misinformation.
Original languageEnglish
Article numberzmaf009
Pages (from-to)1-13
Number of pages13
JournalJournal of Computer-Mediated Communication
Volume30
Issue number4
Early online date24 Jun 2025
DOIs
Publication statusPublished - Jul 2025

Keywords / Materials (for Non-textual outputs)

  • misinformation
  • fake news
  • nudges
  • truth-default theory
  • content labels
  • content veracity
  • social media

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