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The Algorithmic Distribution of News

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Cover of 'The Algorithmic Distribution of News'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction: Governing the Algorithmic Distribution of the News
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    Chapter 2 Governing the Algorithmic Distribution of News in China: The Case of Jinri Toutiao
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    Chapter 3 Algorithms, Platforms, and Policy: The Changing Face of Canadian News Distribution
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    Chapter 4 ‘Good Morning, here’s today’s News’: Delivering News via the Australian Broadcasting Corporation’s Facebook Messenger Chatbot
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    Chapter 5 Algorithms and the News Media in Kenya: Emerging Issues in Data Policy and Accountability
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    Chapter 6 Advertising, Algorithms and Audiences: The Unchanging Economics of Online Journalism
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    Chapter 7 Australian and EU Policy Responses to Algorithmic News Distribution: A Comparative Analysis
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    Chapter 8 Private Property vs. Public Policy Vision in Ancillary Copyright Law Reform
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    Chapter 9 Big Tech and News: A Critical Approach to Digital Platforms, Journalism, and Competition Law
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    Chapter 10 New Zealand: Curbing Hate Speech, But Leaving Platforms to Self-Regulate
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    Chapter 11 Diversity, Fake News and Hate Speech: The German Response to Algorithmic Regulation
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    Chapter 12 Switzerland, Algorithms and the News: A Small Country Looking for Global Solutions
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    Chapter 13 Toward Platform Democracy: Imagining an Open-Source Public Service Social Media Platform
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    Chapter 14 Access Diversity Through Online News Media and Public Service Algorithms: An Analysis of News Recommendation in Light of Article 10 ECHR
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    Chapter 15 The Shortcomings of the Diversity Diet: Public Service Media, Algorithms and the Multiple Dimensions of Diversity
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Title
The Algorithmic Distribution of News
Published by
Springer International Publishing, June 2022
DOI 10.1007/978-3-030-87086-7
ISBNs
978-3-03-087085-0, 978-3-03-087086-7
Editors

James Meese, Sara Bannerman

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