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  • Book
  • © 2022

The Algorithmic Distribution of News

Policy Responses

Palgrave Macmillan
  • Provides an international account of the policy issues surrounding the algorithmic distribution of the news

  • Compares and critiques recent policy interventions that attempted to secure the future of commercial journalism

  • Offers a range of novel policy solutions from media diversity and misinformation to competition law

Part of the book series: Palgrave Global Media Policy and Business (GMPB)

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eBook USD 119.00
Price excludes VAT (Uruguay)
  • ISBN: 978-3-030-87086-7
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Hardcover Book USD 159.99
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Table of contents (15 chapters)

  1. Front Matter

    Pages i-xix
  2. Introduction: Governing the Algorithmic Distribution of the News

    • James Meese, Sara Bannerman
    Pages 1-24Open Access
  3. Current Approaches: Copyright or Competition

    1. Front Matter

      Pages 125-125
    2. Private Property vs. Public Policy Vision in Ancillary Copyright Law Reform

      • Christian Herzog, Christopher Buschow, Alessandro Immanuel Beil
      Pages 151-170

About this book

This volume explores how governments, policymakers and newsrooms have responded to the algorithmic distribution of the news. Contributors analyse the ongoing battle between platforms and publishers, evaluate recent attempts to manage these tensions through policy reform and consider whether algorithms can be regulated to promote media diversity and stop misinformation and hate speech. Chapter authors also interview journalists and find out how their work is changing due to the growing importance of algorithmic systems. Drawing together an international group of scholars, the book takes a truly global perspective offering case studies from Switzerland, Germany, Kenya, New Zealand, Canada, Australia, and China. The collection also provides a series of critical analyses of recent policy developments in the European Union and Australia, which aim to provide a more secure revenue base for news media organisations. A valuable resource for journalism and policy scholars and students, Governing the Algorithmic Distribution of News is an important guide for anyone hoping to understand the central regulatory issues surrounding the online distribution of news.


Keywords

  • media policy
  • digital platforms
  • algorithms
  • news journalism
  • disinformation
  • news diversity
  • copyright

Editors and Affiliations

  • RMIT University, Melbourne, Australia

    James Meese

  • Department of Communication Studies and Multimedia, McMaster University, Hamilton, Canada

    Sara Bannerman

About the editors

James Meese is Senior Lecturer at RMIT University, Australia, and Associate Investigator with the ARC Centre of Excellence for Automated Decision Making and Society.

Sara Bannerman is Associate Professor at McMaster University, Canada, and Canada Research Chair in Communication Policy and Governance.


Bibliographic Information

Buying options

eBook USD 119.00
Price excludes VAT (Uruguay)
  • ISBN: 978-3-030-87086-7
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Hardcover Book USD 159.99
Price excludes VAT (Uruguay)