Muutke küpsiste eelistusi

Algorithmic Distribution of News: Policy Responses 2022 ed. [Kõva köide]

Edited by , Edited by
  • Formaat: Hardback, 313 pages, kõrgus x laius: 210x148 mm, kaal: 565 g, 7 Illustrations, black and white; XIX, 313 p. 7 illus., 1 Hardback
  • Sari: Palgrave Global Media Policy and Business
  • Ilmumisaeg: 23-Sep-2022
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 3030870855
  • ISBN-13: 9783030870850
Teised raamatud teemal:
  • Kõva köide
  • Hind: 122,82 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Tavahind: 144,49 €
  • Säästad 15%
  • Raamatu kohalejõudmiseks kirjastusest kulub orienteeruvalt 2-4 nädalat
  • Kogus:
  • Lisa ostukorvi
  • Tasuta tarne
  • Tellimisaeg 2-4 nädalat
  • Lisa soovinimekirja
  • Formaat: Hardback, 313 pages, kõrgus x laius: 210x148 mm, kaal: 565 g, 7 Illustrations, black and white; XIX, 313 p. 7 illus., 1 Hardback
  • Sari: Palgrave Global Media Policy and Business
  • Ilmumisaeg: 23-Sep-2022
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 3030870855
  • ISBN-13: 9783030870850
Teised raamatud teemal:

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.


1 Introduction: Governing the Algorithmic Distribution of the News
1(26)
James Meese
Sara Bannerman
Part I In the Newsroom: Algorithms, Bots, Business Models, and Privacy
2 Governing the Algorithmic Distribution of News in China: The Case of Jinri Toutiao
27(22)
Jian Xu
Terry Flew
3 Algorithms, Platforms, and Policy: The Changing Face of Canadian News Distribution
49(22)
Nicole Blanchett
Fenwick McKelvey
Colette Brin
4 `Good Morning, here's today's News': Delivering News via the Australian Broadcasting Corporation's Facebook Messenger Chatbot
71(20)
Catherine Young
5 Algorithms and the News Media in Kenya: Emerging Issues in Data Policy and Accountability
91(16)
George Ogola
David Cheruiyot
6 Advertising, Algorithms and Audiences: The Unchanging Economics of Online Journalism
107(20)
James Meese
Part II Current Approaches: Copyright or Competition
7 Australian and EU Policy Responses to Algorithmic News Distribution: A Comparative Analysis
127(24)
David Lindsay
8 Private Property vs. Public Policy Vision in Ancillary Copyright Law Reform
151(20)
Christian Herzog
Christopher Buschow
Alessandro Immanuel Beil
9 Big Tech and News: A Critical Approach to Digital Platforms, Journalism, and Competition Law
171(22)
Tai Neilson
Baskaran Balasingham
Part III Regulatory Challenges
10 New Zealand: Curbing Hate Speech, But Leaving Platforms to Self-Regulate
193(16)
Merja Myllylahti
11 Diversity, Fake News and Hate Speech: The German Response to Algorithmic Regulation
209(24)
Kerstin Liesem
12 Switzerland, Algorithms and the News: A Small Country Looking for Global Solutions
233(20)
Colin Porlezza
Part IV Future Horizons: Algorithms and Media Policy
13 Toward Platform Democracy: Imagining an Open-Source Public Service Social Media Platform
253(16)
Derek Hrynyshyn
14 Access Diversity Through Online News Media and Public Service Algorithms: An Analysis of News Recommendation in Light of Article 10 ECHR
269(20)
Judith Vermeulen
15 The Shortcomings of the Diversity Diet: Public Service Media, Algorithms and the Multiple Dimensions of Diversity
289(20)
Jannick Kirk Sorensen
Index 309
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.