Evidence map›Paper›PMID 42352751›Full record

ArticleBehavioral sciences (Basel, Switzerland)2026

Social Media Platforms and Sustainable Tourism Choices: The Role of Online Review Credibility and Cognitive Processing.

Anar Eminov, Natavan Namazova, Zivar Zeynalova, Elkhan Richard Sadik-Zada

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Anar EminovDepartment of Management, Mingachevir State University, Mingachevir AZ4500, Azerbaijan.
Natavan NamazovaDepartment of Economics, Mingachevir State University, Mingachevir AZ4500, Azerbaijan.ORCID 0000-0001-5091-9101
Zivar ZeynalovaDepartment of Economics, Mingachevir State University, Mingachevir AZ4500, Azerbaijan.
Elkhan Richard Sadik-ZadaInstitute of Development Research and Development Policy, Ruhr-University of Bochum, 44801 Bochum, Germany.ORCID 0000-0001-8898-7994

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study examines how social media-driven information environments shape pro-environmental travel decision-making within the broader context of sustainable tourism and digital information expansion. It aims to explain how informational, cognitive, and evaluative mechanisms jointly influence behavioral intention by integrating perceived trustworthiness of user-generated content, ecological awareness, attitude formation, and cognitive processing bias within a moderated mediation framework. Data were collected from 315 respondents in Azerbaijan through a structured survey and analyzed using structural equation modeling to test both mediating and conditional relationships. The results show that perceived trustworthiness of user-generated content significantly strengthens attitude formation, which is the strongest predictor of behavioral intention. Trust also has a direct effect, but its influence mainly operates through evaluative pathways. Ecological awareness partially mediates the relationship between trust and intention, indicating multiple parallel mechanisms. Furthermore, cognitive processing bias weakens the effect of trust on attitude and reduces indirect effects. Overall, the findings suggest that sustainable tourism behavior is driven more by credibility-based cognitive evaluation than by mere information availability, highlighting the importance of credibility-enhancing and cognitively effective communication strategies.

Indexed as

cognitive processing biasecological awarenessmoderated mediationperceived credibilitysocial mediasustainable tourismuser-generated content

Identifiers

PMID42352751
PMCPMC13295617

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.