Article Instance

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{
    "pk": 24731,
    "title": "Common sense reasoning about credibility",
    "subtitle": null,
    "abstract": "We often rely on others' testimony when learning about new topics, such as health benefits of a novel food. However, the sources are not always knowledgeable, helpful, or unbiased, necessitating an assessment of their credibility. Here, we present a Bayesian model of source credibility, where a listener simultaneously infers the expertise and intention of the source while trying to discern the truth. A key prediction is that rational inference of credibility requires anchoring it on some kernel of shared knowledge. We consider a scenario where both parties have noisy access to the ground truth of familiar topics (e.g., is broccoli healthy?), which serves as a basis for reasoning about a source's credibility on novel topics (e.g., is avocado healthy?). This approach provides a computational framework for understanding how people respond to information in domains like science communication and media consumption.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [
        {
            "word": "Philosophy; Reasoning; Social cognition; Theory of Mind; Bayesian modeling"
        }
    ],
    "section": "Abstracts",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/0z60f8dv",
    "frozenauthors": [
        {
            "first_name": "Peiyao",
            "middle_name": "",
            "last_name": "Hu",
            "name_suffix": "",
            "institution": "Stevens Institute of Technology",
            "department": ""
        },
        {
            "first_name": "Mark",
            "middle_name": "K",
            "last_name": "Ho",
            "name_suffix": "",
            "institution": "Stevens Institute of Technology",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "2024-01-01T10:00:00-08:00",
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