JOURNAL ARTICLE

The first-person effect: A test of the reflection hypothesis.

  • Published In: International Journal of Public Opinion Research, 2025, v. 37, n. 1. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Moser, Klaus; Soucek, Roman; Galais, Nathalie; Paul, Karsten I; Gunnesch-Luca, George 3 of 3

Abstract

The article focuses on the "third-person effect" (TPE), which is the tendency for individuals to overestimate the influence of mass communications on others compared to themselves, and introduces the "reflection hypothesis" as a notable exception predicting a "first-person effect" (FPE) under specific conditions. The reflection hypothesis posits that for socially desirable messages—such as non-profit advertisements—people perceive a stronger impact on their own reflection (thinking) than on others', whereas for undesirable messages, the TPE persists. Across three studies using mock advertisements, the researchers found consistent evidence supporting the reflection hypothesis: an FPE emerged for socially desirable messages when participants assessed the impact on reflection, but not on behavior, where the TPE remained. These findings suggest that self-enhancement motives influence perceived media effects differently depending on message desirability and the level of impact considered, highlighting the importance of distinguishing between cognitive reflection and behavioral influence in media perception research.

Additional Information

  • Source:International Journal of Public Opinion Research. 2025/03, Vol. 37, Issue 1, p1
  • Document Type:Article
  • Subject Area:Social Sciences and Humanities
  • Publication Date:2025
  • ISSN:0954-2892
  • DOI:10.1093/ijpor/edae064
  • Accession Number:184297074
  • Copyright Statement:Copyright of International Journal of Public Opinion Research is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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