The Algorithmic Distribution of News | Policy Responses

James Meese (u. a.)

ISBN 10: 303087088X / ISBN 13: 9783030870881

Published by Springer, 2023

About this Item

The Algorithmic Distribution of News | Policy Responses | James Meese (u. a.) | Taschenbuch | xix | Englisch | 2023 | Springer | EAN 9783030870881 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Seller Inventory # 127557320

Bibliographic Details

• Title: The Algorithmic Distribution of News | Policy Responses
• Publisher: Springer
• Publication Date: 2023
• Language: English
• ISBN 10: 303087088X
• ISBN 13: 9783030870881
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 210W x 148H x 19D millimeters 210 millimeters width by 148 millimeters height by 19 millimeters depth
• Weight: 436 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.

About the Author

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.