Algorithmic Gatekeeping for Professional Communicators : Power, Trust, and Legitimacy

This book provides a critical study of the power, trust, and legitimacy of algorithmic gatekeepers. The news and public information which citizens see and hear is no longer solely determined by journalists, but increasingly by algorithms. Van Dalen demonstrates the gatekeeping power of social media...

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Detalles Bibliográficos
Autor principal: Arjen van Dalen
Formato: Libro
Publicado: Routledge 2023
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      aug:
        au: Arjen van Dalen
      su:
        Algorithms
        Social media and journalism
        Filter bubbles (Information filtering)
      sug:
        subj:
          LANGUAGE ARTS & DISCIPLINES / Journalism
          LANGUAGE ARTS & DISCIPLINES / Communication Studies
          SOCIAL SCIENCE / Media Studies
          Algorithms
          Social media and journalism
          Filter bubbles (Information filtering)
      ab: This book provides a critical study of the power, trust, and legitimacy of algorithmic gatekeepers. The news and public information which citizens see and hear is no longer solely determined by journalists, but increasingly by algorithms. Van Dalen demonstrates the gatekeeping power of social media algorithms by showing how they affect exposure to diverse information and misinformation and shape the behaviour of professional communicators. Trust and legitimacy are foregrounded as two crucial antecedents for the acceptance of this algorithmic power. This study reveals low trust among the general population in algorithms performing journalistic tasks and a perceived lack of legitimacy of algorithmic power among professional communicators. Drawing on case studies from YouTube and Instagram, this book challenges technological deterministic discourse around'filter bubbles'and'echo chambers'and shows how algorithmic power is situated in the interplay between platforms, audiences, and professional communicators. Ultimately, trustworthy algorithms used by news organizations and social media platforms as well as algorithm literacy training are proposed as ways forward towards democratic algorithmic gatekeeping. Presenting a nuanced perspective which challenges the deep divide between techno-optimistic and techno-pessimistic discourse around algorithms, Algorithmic Gatekeeping is recommended reading for journalism and communication researchers in related fields.The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons [Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND)] 4.0 license.
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