{
  "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.",
  "abstract_shown": true,
  "affiliations": [
    "Xi’anPhysical Education University, School of Sports Economics and Management, Xi’an, China",
    "Hainan University, School of International Tourism and Public Administration, Haikou, China"
  ],
  "article_type": "Research Article",
  "arxiv": null,
  "author_total": 4,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Xueli Li"
    },
    {
      "affs": [
        1
      ],
      "name": "Jianlan Ding"
    },
    {
      "name": "Yina Zhang"
    },
    {
      "name": "Tao Hu"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/9m4tg6e2s4wn5.bib",
  "cited_by": 0,
  "doi": "10.1371/journal.pone.0360383",
  "fulltext_url": null,
  "id": "9m4tg6e2s4wn5",
  "issns": [
    "1932-6203"
  ],
  "landing_url": "https://doi.org/10.1371/journal.pone.0360383",
  "language": null,
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "journal",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "openalex",
      "3312|Diverse Aspects of Tourism Research"
    ],
    [
      "plos",
      "/Biology and life sciences/Psychology/Emotions"
    ],
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      "plos",
      "/Computer and information sciences/Digital imaging"
    ],
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      "plos",
      "/Computer and information sciences/Software engineering/Preprocessing"
    ],
    [
      "plos",
      "/Engineering and technology/Software engineering/Preprocessing"
    ],
    [
      "plos",
      "/Medicine and health sciences/Epidemiology/Pandemics"
    ],
    [
      "plos",
      "/Medicine and health sciences/Medical conditions/Infectious diseases/Viral diseases/COVID 19"
    ],
    [
      "plos",
      "/Physical sciences/Mathematics/Statistics/Statistical methods"
    ],
    [
      "plos",
      "/Research and analysis methods/Imaging techniques"
    ],
    [
      "plos",
      "/Research and analysis methods/Mathematical and statistical techniques/Statistical methods"
    ],
    [
      "plos",
      "/Social sciences/Psychology/Emotions"
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      "plos",
      "/Social sciences/Sociology/Communications/Marketing"
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  "openalex": "W7222337762",
  "pdf_url": "https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0360383&type=printable",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-15",
  "publisher": "Public Library of Science",
  "ris": "https://research.draconitic.com/paper/9m4tg6e2s4wn5.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:17:23Z",
      "native_id": "10.1371/journal.pone.0360383",
      "source": "plos",
      "url": "https://doi.org/10.1371/journal.pone.0360383"
    }
  ],
  "subjects": [
    {
      "field": "mathematics",
      "origin": "plos:statistical methods",
      "subfield": "statistics"
    },
    {
      "field": "medicine",
      "origin": "plos:epidemiology",
      "subfield": "epidemiology-public-health"
    },
    {
      "field": "medicine",
      "origin": "plos:infectious diseases",
      "subfield": "infectious-disease"
    }
  ],
  "title": "Measuring destination image dissonance: A compositional data analysis of cross-media representations in Sanya’s Tourism",
  "title_text": "Measuring destination image dissonance: A compositional data analysis of cross-media representations in Sanya’s Tourism",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:17:23Z",
  "url": "https://research.draconitic.com/paper/9m4tg6e2s4wn5",
  "venue": "PLOS One",
  "versions": []
}