{
  "abstract": "Objective: This study investigated if an empathy-evoking vignette could reduce facial differences bias, while considering gender.\n\nDesign: Participants (N = 124) were randomly assigned to read either an empathy-evoking vignette or nothing, after which they completed indirect and direct bias measures.\n\nSetting: The study was conducted entirely online.\n\nParticipants: Those completing the study were members of the general public, none of which had a facial difference.\n\nInterventions: Participants either read a short, empathy-evoking vignette or nothing before then completing the tasks.\n\nMain Outcome Measures: The indirect measure of bias was an implicit association task. Explicit measures of bias were questions about preferences and attitudes toward people with facial differences.\n\nResults: Reading the vignette led to lower bias on indirect and direct measures in females, whereas in the small sample of males, vignette males tended toward greater bias than no-vignette males. Although we tried to expand insights into bias in different genders, we did not have enough non-binary participants.\n\nConclusion: This study showed that empathy-evoking vignettes can attenuate facial differences bias in females but may inadvertently heighten bias in males, underscoring the moderating role of gender in narrative-based interventions. Future work should explore diverse narrative types and perspectives, using a wider range of stimuli (varied facial differences, genders, ethnicities) and participant genders, and should incorporate gender into analyses of bias.",
  "abstract_shown": true,
  "affiliations": [
    "Computing Science, University of Alberta, Edmonton, Canada",
    "Psychology, University of Alberta, Edmonton, Canada",
    "Neuroscience and Mental Health Institute, University of Alberta, Edmonton, Canada",
    "Rehabilitation Medicine, University of Alberta, Edmonton, Canada"
  ],
  "article_type": "research article",
  "arxiv": null,
  "author_total": 4,
  "authors": [
    {
      "affs": [
        0,
        1,
        2
      ],
      "name": "Brea Chouinard",
      "orcid": "0000-0001-6363-122X"
    },
    {
      "affs": [
        2,
        3
      ],
      "name": "Mary Cheuk"
    },
    {
      "affs": [
        3
      ],
      "name": "William Hodgetts"
    },
    {
      "affs": [
        2,
        3
      ],
      "name": "Jacqueline Cummine",
      "orcid": "0000-0001-9377-4299"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/9dpcdjkc3d65w.bib",
  "cited_by": 0,
  "doi": "10.1177/10556656261455305",
  "fulltext_url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC13724823/",
  "id": "9dpcdjkc3d65w",
  "issns": [
    "1055-6656",
    "1545-1569"
  ],
  "landing_url": "https://doi.org/10.1177/10556656261455305",
  "language": "en",
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "heading",
      "Original Articles"
    ],
    [
      "openalex",
      "3312|Social and Intergroup Psychology"
    ]
  ],
  "openalex": "W7165520397",
  "pdf_url": null,
  "pmcid": "PMC13724823",
  "pmid": "42329878",
  "published": "2026-06-22",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/9dpcdjkc3d65w.ris",
  "sources": [
    {
      "first_seen": "2026-11-04T12:23:20Z",
      "native_id": "PMC13724823",
      "source": "pmc",
      "url": "https://doi.org/10.1177/10556656261455305"
    }
  ],
  "subjects": [
    {
      "field": "biology",
      "origin": "journal-openalex:1311|Cleft Lip and Palate Research",
      "subfield": "genetics-genomics"
    }
  ],
  "title": "Facing Empathy: Reducing Facial-Differences Bias Through a Story",
  "title_text": "Facing Empathy: Reducing Facial-Differences Bias Through a Story",
  "type": "peer-reviewed",
  "updated_at": "2026-11-05T12:21:32Z",
  "url": "https://research.draconitic.com/paper/9dpcdjkc3d65w",
  "venue": "The Cleft Palate-Craniofacial Journal",
  "versions": []
}