Overview
- 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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Table of contents (15 chapters)
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Front Matter
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In the Newsroom: Algorithms, Bots, Business Models, and Privacy
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Front Matter
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Current Approaches: Copyright or Competition
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Front Matter
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Future Horizons: Algorithms and Media Policy
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Front Matter
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Keywords
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.
Editors and Affiliations
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
Book Title: The Algorithmic Distribution of News
Book Subtitle: Policy Responses
Editors: James Meese, Sara Bannerman
Series Title: Palgrave Global Media Policy and Business
DOI: https://doi.org/10.1007/978-3-030-87086-7
Publisher: Palgrave Macmillan Cham
eBook Packages: Literature, Cultural and Media Studies, Literature, Cultural and Media Studies (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-030-87085-0Published: 23 September 2022
Softcover ISBN: 978-3-030-87088-1Published: 24 September 2023
eBook ISBN: 978-3-030-87086-7Published: 22 September 2022
Series ISSN: 2634-6192
Series E-ISSN: 2634-6206
Edition Number: 1
Number of Pages: XIX, 313
Number of Illustrations: 7 b/w illustrations
Topics: Journalism, Digital/New Media, Media Policy