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The Algorithmic Distribution of News: Policy Responses
The Algorithmic Distribution of News: Policy Responses
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- More about The Algorithmic Distribution of News: Policy Responses
This book explores how governments, policymakers, and newsrooms have responded to the algorithmic distribution of the news, evaluating policy reform and the potential regulation of algorithms to promote media diversity and stop misinformation and hate speech. It offers a global perspective with case studies from various countries and critical analyses of recent policy developments.
Format: Hardback
Length: 313 pages
Publication date: 23 September 2022
Publisher: Springer Nature Switzerland AG
This comprehensive volume delves into the intricate dynamics between governments, policymakers, and newsrooms in response to the emergence of algorithmic news distribution. Contributors examine the ongoing conflict between platforms and publishers, assess recent initiatives aimed at reconciling these tensions through policy reform, and explore the potential regulation of algorithms to foster media diversity, combat misinformation, and mitigate hate speech. Through in-depth interviews with journalists, the book sheds light on the transformative impact of algorithmic systems on their work, highlighting the evolving role of algorithms in shaping news content and distribution. Drawing from a diverse international cohort of scholars, the book adopts a global perspective, presenting case studies from Switzerland, Germany, Kenya, New Zealand, Canada, Australia, and China. Additionally, it offers critical assessments of recent policy developments in the European Union and Australia, aimed at securing a more robust revenue base for news media organizations. Serving as a valuable resource for journalism and policy scholars, as well as students, Governing the Algorithmic Distribution of News provides a comprehensive guide to understanding the central regulatory challenges surrounding the online distribution of news.
Weight: 560g
Dimension: 152 x 217 x 28 (mm)
ISBN-13: 9783030870850
Edition number: 1st ed. 2022
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