Truace
Subscribe
68/100

Moderate evidence

GainPublished recordBusinessGood Space

Full story
More
Export record JSONEmailLinkedInX

The power of two-sidedness: enhancing the user engagement intention towards AI-generated emotional tourism advertising

Truvace record
TRV-2026-2668raw data (JSON)
Version
v1Published
First published
Evidence type
Controlled or validated comparison
Sources
1 sourcePeer-reviewed
sha256
e72fd9c425db…check it

The growing application of artificial intelligence (AI) in tourism communication has transformed the ways destinations and businesses engage with potential travelers. Yet, the role of emotional intensity in shaping user engagement and the underlying mechanism remain underexplored. Drawing on attribution theory, this study employed two experiments to investigate these dynamics. Study 1 examined the main effect (N = 126), and Study 2 tested the underlying mechanism (N = 210). The results indicate an initial increa…

The gain

In two experiments with 126 and 210 participants, researchers found that two-sided AI-generated tourism advertising reduced viewers' skepticism and strengthened their intention to engage with the ad.

Sources

1 on file
  1. Asia Pacific Journal of Tourism Researchdoi:10.1080/10941665.2026.2662281
    Peer-reviewed2026-08-05

Cite this record

v1

Truvace Impact Record TRV-2026-2668, v1: “The power of two-sidedness: enhancing the user engagement intention towards AI-generated emotional tourism advertising.” Truvace, 2026-11-12. /record/TRV-2026-2668 (accessed on the day you copy it). sha256 e72fd9c425dbac01…

Change history

1 version

Every change made to this record since it was first published, and why. Nothing has changed since it went up.

  1. Publishedv1e72fd9c425db…

    Certified into the record

Check this record hasn’t been altered

Check this record hasn’t been altered
How to check it yourself, without trusting this page

Download any version from /api/record/TRV-2026-2668 and hash its canonical field yourself, for example with shasum -a 256. You should get its content_hash. Each version’s text also ends with prev:and the hash of the version before it (version 1 points to 64 zeros). If anyone had changed a single character of any version after it was saved, those hashes wouldn’t line up.