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    Truth-Seeking in an Age of (Mis)Information Overload

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    Author(s)
    Castillo, David R.
    Siwei, Lyu
    Milletti, Christina
    Language
    English
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    Abstract
    The unprecedented spread of false and misleading information is the flip side of the Internet's promise of universal access and information democratization. This volume features original contributions from scholars working on the challenge of misinformation across a wide range of STEM, humanities, and art disciplines. Modeling a collaborative, multidisciplinary "convergence approach,"Truth-Seeking in an Age of (Mis)Information Overload is structured in three parts. Part 1, "Misinformation and Artificial Intelligence," confronts the danger of outsourcing judgement and decision-making to AI instruments in key areas of public life, from the processing of loan applications to school funding, policing, and criminal sentencing. Part 2, "Science Communication," foregrounds the need to rethink how scientific findings are communicated to the public, calling on scientists to cooperate with colleagues in other disciplines and community representatives to help minimize the negative effects of mis/disinformation in such vital areas as climate change science and public health. Part 3, "Building Trust," further advocates for and explores instances of trust-building initiatives as a necessary precondition of both community-oriented scholarly activity and effective intervention strategies in high impact areas such as public health. This book is freely available in an open access edition thanks to the generous support of the Humanities Institute at the University at Buffalo, State University of New York.
    URI
    https://library.oapen.org/handle/20.500.12657/93908
    Keywords
    Media Studies, Artificial Intelligence,History,Social Aspects, Communication Studies
    ISBN
    9781438499246, 9781438499253
    Publisher
    State University of New York Press
    Publisher website
    http://www.sunypress.edu/
    Publication date and place
    2024
    Imprint
    SUNY Press
    Series
    SUNY series, Humanities to the Rescue,
    Classification
    Society and Social Sciences
    Supercomputers
    Language: reference and general
    Pages
    194
    Rights
    https://creativecommons.org/licenses/by-nc-nd/4.0/
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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