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    Information Disorder

    Learning to Recognize Fake News

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    Contributor(s)
    Biondo, Francesco (editor)
    La Rocca, Gevisa (editor)
    Viviana Trapani, Viviana (editor)
    Language
    English
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    Abstract
    The Smart Specialisation Strategy (RIS3), namely the national or regional innovation strategies for smart, sustainable and inclusive growth in the European Union, co-funded by the European Commission, with the general objective of concentrating European resources on emerging technology areas that can be developed in the region by focusing on building local knowledge rather than transferring external technological resources. The Sicily Region, with the ERDF Operational Programme 2014–2020, Action 1.1.5 for “Support for the technological advancement of companies through the financing of pilot lines and early product validation and large-scale demonstration actions”, has selected the Fake News project in the effort to support the technological development of tools to control information exchange on the Web to counter the phenomenon of disinformation.
    URI
    https://library.oapen.org/handle/20.500.12657/62264
    Keywords
    Benjamin; Biondo; Disorder; Fake; Francesco; Gevisa; Kloss; Learning; News; Recognize; Rocca; Trapani; Viviana
    DOI
    10.3726/b19996
    ISBN
    9783631885574, 9783631885581, 9783631885567, 9783631885574
    Publisher
    Peter Lang International Academic Publishers
    Publisher website
    https://www.peterlang.com/
    Publication date and place
    2022
    Classification
    Digital Lifestyle and online world: consumer and user guides
    Philosophy
    Media studies
    Social research and statistics
    Sociology: work and labour
    Social, group or collective psychology
    Law as it applies to other professions and disciplines
    Information technology: general topics
    Pages
    242
    Rights
    https://creativecommons.org/licenses/by/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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