Article Instance

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{
    "pk": 29295,
    "title": "Shame on you! A computational linguistic analysis of shame expressions",
    "subtitle": null,
    "abstract": "The current study explored the unique linguistic characteristics\nof the self-conscious emotion shame. The data used for the\nanalyses were part of two larger studies in which semi-\nstructured interview techniques were used that had learners\ndescribe shameful or frustrating experiences in the context of\npsychology and engineering courses. Results revealed when\ndescribing an experience of shame, learners use significantly\nmore positive emotional words, significantly more words\nassociated with anxiety, and significantly fewer words\nassociated with anger. Additionally, learners use simpler\nsyntax, more abstract words, and have less cohesive speech.\nEducational implications are discussed.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [
        {
            "word": "emotions; shame; learning centered emotions;\ncognition; computational linguistic analysis"
        }
    ],
    "section": "Member Abstracts",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/80v4m3jd",
    "frozenauthors": [],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "2019-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/29295/galley/19166/download/"
        }
    ]
}