The algorithmic distribution of news : policy responses / James Meese, Sara Bannerman, editors.
Meese, James (Writer on law), editor.; Bannerman, Sara, 1975- editor.
2022
PN4784.O62
Available Online

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Title The algorithmic distribution of news : policy responses / James Meese, Sara Bannerman, editors.
ISBN 9783030870867 (electronic bk.)
3030870863 (electronic bk.)
9783030870850
DOI https://doi.org/10.1007/978-3-030-87086-7
Published Cham : Palgrave Macmillan, [2022]
Copyright ©2022
Language English
Description 1 online resource (xix, 313 pages) : illustrations.
Other Standard Identifiers 10.1007/978-3-030-87086-7 doi
Call Number PN4784.O62
Dewey Decimal Classification 070.4/30285
Summary 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. 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.
Note Includes index.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed September 30, 2022).
Added Author Meese, James (Writer on law), editor.
Bannerman, Sara, 1975- editor.
Series Palgrave global media policy and business. 2634-6206
Available in Other Form Print version: 9783030870850
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
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Chapter 1: Introduction: Governing the Algorithmic Distribution of the News
Part 1: In the newsroom: algorithms, bots, business models, and privacy
Chapter 2: Governing the Algorithmic Distribution of News in China: The Case of Jinri Toutiao
Chapter 3: Algorithms, Platforms, and Policy: The Changing Face of Canadian News Distribution
Chapter 4: Good Morning, Here's Today's News': Delivering News via the Australian Broadcasting Corporation's Facebook Messenger Chatbot
Chapter 5: Algorithms and the News Media in Kenya: Emerging Issues in Data Policy and Accountability
Chapter 6: Advertising, algorithms and audiences: The unchanging economics of online journalism
Part 2: Current approaches: Copyright or Competition
Chapter 7: Australian and EU Policy Responses to Algorithmic News Distribution: A Comparative Analysis
Chapter 8: Private Property vs. Public Policy Vision in Ancillary Copyright Law Reform
Chapter 9: Big Tech and News: A Critical Approach to Digital Platforms, Journalism, and Competition Law
Part 3: Regulatory Challenges
Chapter 10: New Zealand: Curbing Hate Speech, But Leaving Platforms to Self-Regulate
Chapter 11: Diversity, Fake News, and Hate Speech: The German Response to Algorithmic Regulation
Chapter 12: Switzerland, Algorithms, and the News: A Small Country Looking for Global Solutions
Part 4: Future horizons: Algorithms and media policy
Chapter 13:Towards Platform Democracy: Imagining an Open-Source Public Service Social Media Platform
Chapter 14:Access Diversity Through Online Media and Public Service Algorithms: An Analysis of News Recommendation in Light of Article 10 ECHR
Chapter 15: The Shortcomings of the Diversity Diet: Public Service Media; Algorithms, and the Multiple Dimensions of Diversity.

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