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{
    "pk": 49844,
    "title": "Unmasking political deception: Investigating the Discernment and Emotional Impact of Deepfake Political Speeches Featuring American Presidential Candidates",
    "subtitle": null,
    "abstract": "Deepfake videos challenge the quality of information in deliberative democracies. In a mixed-methods study, we examine the role of emotions in the detection of political deepfakes by focusing on trust, empathy, and inspiration to assess how deepfakes influence public perception and engagement with political communication. The research unfolds in two phases: an initial qualitative investigation through 3 focus groups (N = 13), followed by a quantitative survey (N = 261) where focus group insights inform the design and interpretation of the quantitative study. Participants were exposed to real, ChatGPT-generated, and historical speeches presented in modern contexts to gauge perceived authenticity and emotional responses, including trust, empathy, and inspiration. Results indicate no significant difference in perceived authenticity between real and deepfake content, with both eliciting comparable emotional reactions. The quantitative analysis reveals a marginal negative correlation between exposure to deepfakes and trust in political communication. Qualitative findings emphasize the influence of contextual cues and pre-existing biases, showing participants often prioritized emotional resonance over technical accuracy when evaluating content. The study highlights the intricate relationship between AI-generated media and public perception, underscoring the necessity for nuanced regulatory policies and improved media literacy to mitigate the impact of Deepfakes on public trust.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [
        {
            "word": "Psychology; Human-computer interaction"
        }
    ],
    "section": "Papers with Poster Presentation",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/3zc6c210",
    "frozenauthors": [
        {
            "first_name": "Eliza",
            "middle_name": "",
            "last_name": "Solomon",
            "name_suffix": "",
            "institution": "London School of Economics",
            "department": ""
        },
        {
            "first_name": "Jens",
            "middle_name": "Koed",
            "last_name": "Madsen",
            "name_suffix": "",
            "institution": "London School of Economics",
            "department": ""
        },
        {
            "first_name": "Edoardo",
            "middle_name": "",
            "last_name": "Zulato",
            "name_suffix": "",
            "institution": "London School of Economics",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "2025-01-01T15:00:00-03:00",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/49844/galley/37806/download/"
        }
    ]
}