429
Views
0
CrossRef citations to date
0
Altmetric
Research Article

“You See You” (UCU): Self-Representation Affordance Moderates Bandwagon-Cues’ Impacts on Selective Exposure

, , &
Pages 582-613 | Published online: 10 Sep 2023
 

ABSTRACT

Bandwagon cues and interactivity affordances have transformed the way people choose and consume online messages. Two experiments, a computerized lab experiment and an online field experiment, were conducted to investigate the impact of bandwagon cues (high versus low numbers) on selective exposure to online news articles, contingent on the use of a self-representation affordance. Predictions were derived from the TIME framework as well as the User Connectedness and Uniqueness (UCU) Model. In line with the UCU model, the findings demonstrate that generating a private self-representation (i.e. creating an online profile that is viewable only to oneself) resulted in more exposure to news messages with high bandwagon cues compared to low bandwagon cues. On the other hand, creating a public self-representation (i.e. creating an online profile that is publicly viewable) led to more exposure to messages with low bandwagon cues compared to high bandwagon cues.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Correction Statement

This article has been corrected with minor changes. These changes do not impact the academic content of the article.

Notes

1. We are indebted to an anonymous reviewer for bringing this point to our attention.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 391.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.