Evidence map›Paper›PMID 42879417›Full record

ArticlePloS one2026

Measuring destination image dissonance: A compositional data analysis of cross-media representations in Sanya's Tourism.

Xueli Li, Jianlan Ding, Yina Zhang, Tao Hu

Abstract read
In one paragraph

Article in PloS one, 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.

Xueli LiXi'anPhysical Education University, School of Sports Economics and Management, Xi'an, China.ORCID https://orcid.org/0000-0003-0702-6388
Jianlan DingXi'anPhysical Education University, School of Sports Economics and Management, Xi'an, China.
Yina ZhangXi'anPhysical Education University, School of Sports Economics and Management, Xi'an, China.
Tao HuHainan University, School of International Tourism and Public Administration, Haikou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study examines Sanya's tourism image disparities across cognitive, spatial, and affective dimensions in Press Generated Content (PGC), Tourist Generated Content (TGC), and Official Generated Content (OGC) (2013-2022), comparing pre-pandemic (2013-2019) and COVID-19 (2020-2022) periods. Results show: cognitive consistency in "tourism/hotels" but TGC focusing on "coastal + food" vs. PGC/OGC emphasizing policy elements; spatial misalignment between policy-driven spaces and tourists' preferred spaces, revealing a systematic dissonance between institutional promotion and on-the-ground practices; affective dominance of "enjoyment/romance" but TGC expressing unmet needs and OGC suppressing negatives. Systematic cognitive divergence exists between official and tourist narratives. The Aitchison distance measuring this divergence jumps from 19.574 in the pre-pandemic phase (2013-2019) to 40.648 during the pandemic-impacted phase (2020-2022), demonstrating that structural gaps between the two narrative systems become more pronounced amid the public health crisis. Targeted strategies are accordingly proposed to narrow such narrative discrepancies.

Indexed as

COVID-19TourismData AnalysisHumansPandemicsSARS-CoV-2

Identifiers

PMID42879417
PMCPMC13671502

What OpenQuestion holds

Textmetadata
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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.