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First Impressions Always Last: How AI Disclosure On Job Descriptions Shapes Trust and Application Intention

Truvace record
TRV-2026-2572raw data (JSON)
Version
v1Published
First published
Evidence type
Controlled or validated comparison
Sources
1 sourcePeer-reviewed
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42340a8874ff…check it

Artificial Intelligence (AI) is increasingly used to automate communication in organizations, including the creation of job descriptions. Yet little is known about how disclosing AI authorship affects potential applicants’ reactions. Drawing on signaling theory, this study examines whether authorship labels on job descriptions shape trust in the organization and intention to apply. We conduct a 3x1 between-subjects online vignette experiment (AI vs. human vs. no label) with 651 working-age participants from Germ…

The problem

In an online experiment with 651 working-age people in German-speaking countries, job descriptions labelled as AI-written reduced trust in the employer compared with human-labelled ones and lowered intention to apply compared with both human-labelled and unlabelled ones.

What this doesn’t fix

The study used an online vignette experiment with participants from German-speaking countries, so it measured reactions to hypothetical job descriptions rather than real application behaviour.

Sources

1 on file
  1. Journal of the Association for Information Systemsaisel.aisnet.org
    Peer-reviewed2026-06-14

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v1

Truvace Impact Record TRV-2026-2572, v1: “First Impressions Always Last: How AI Disclosure On Job Descriptions Shapes Trust and Application Intention.” Truvace, 2026-11-12. /record/TRV-2026-2572 (accessed on the day you copy it). sha256 42340a8874ffeeca…

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