Skip to main navigation Skip to search Skip to main content

Faces matter

  • Lidingrong Huang
  • , Peiran Jiao*
  • , Ye Jin
  • *Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Using field and survey experiments, we examine how product reviewers' facial profile images influence behaviour on e-commerce platforms. Across a series of studies, we show that facial profile images accompanying positive reviews, relative to system default images, increase purchase conversion rates by 6.98% on average (Study 1). Evidence from a controlled survey experiment suggests this operates through a causal effect of faces on perceived review trustworthiness (Study 3). The effect is unlikely to reflect specific facial traits or expressions, which were not clearly discernible. We further demonstrate that the observed effects are not explained by profile personalisation alone (Studies 2 and 3). As an additional explanation for the face effect, we find that users who upload facial profile images may write more helpful reviews (Study 4). Overall, our findings show that human faces can uniquely and meaningfully promote the perceived trustworthiness of online information, contributing to research on face effects, trust, and e-commerce.
Original languageEnglish
Article number107296
Number of pages28
JournalJournal of Economic Behavior & Organization
Volume240
Early online date1 Oct 2025
DOIs
Publication statusPublished - 1 Dec 2025

JEL classifications

  • c93 - Field Experiments
  • d91 - "Intertemporal Consumer Choice; Life Cycle Models and Saving"
  • z13 - Economic Sociology

Keywords

  • Faces
  • Trustworthiness
  • E-commerce
  • Online reviews
  • Field experiments
  • SOCIAL DISTANCE
  • TRUST
  • ANONYMITY
  • APPEARANCE
  • REPUTATION
  • DICTATOR
  • BEHAVIOR

Fingerprint

Dive into the research topics of 'Faces matter'. Together they form a unique fingerprint.

Cite this