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{
    "pk": 28515,
    "title": "The Decision Science of Voting: Behavioral Evidence of Factors in Candidate\nValuation",
    "subtitle": null,
    "abstract": "Despite decision science have increased our understanding of\nhuman decision-making in different contexts, voters’ decision has\nbeen studied less from this point of view. Therefore, we\ninvestigated, how electorate- and candidate-related factors affect\nelectorate’s (N=1334) valuation to the Prime Minister candidates\n(N=11) on the multiparty democracy. Electorates valuated\ncandidates individually and through pairwise candidate comparison.\nWe collected the data by using anonymous questionnaire and sent it\nvia mass emailing and social media. We applied linear mixed-effects\nand Bayesian network models to analyze the data. Electorate-related\nvariable Valence and candidate-related variables Trustworthiness\nand Righteousness was found as the strongest main effects. The\npairwise analysis comparison highlighted voters’ personal\ncharacteristic. In particular, the interactions associated to valence,\narousal and gender had high effect only in pairwise comparisons.\nOur results suggest that the pairwise comparisons - which is typical\nfor elections, e.g., in USA - highlights the importance of emotional\nand gender-related factors.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [
        {
            "word": "decision making; politics: valuation; voting; linear\nmixed-effects model; Bayesian networks"
        }
    ],
    "section": "Papers with Oral Presentations",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/36t9094m",
    "frozenauthors": [
        {
            "first_name": "Janne",
            "middle_name": "",
            "last_name": "Kauttonen",
            "name_suffix": "",
            "institution": "Laurea University of Applied Sciences,",
            "department": ""
        },
        {
            "first_name": "Jyrki",
            "middle_name": "",
            "last_name": "Suomala",
            "name_suffix": "",
            "institution": "Laurea University of Applied Sciences,",
            "department": ""
        }
    ],
    "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/28515/galley/18386/download/"
        }
    ]
}