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001449928 001__ 1449928
001449928 003__ OCoLC
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001449928 020__ $$a9783030870867$$q(electronic bk.)
001449928 020__ $$a3030870863$$q(electronic bk.)
001449928 020__ $$z9783030870850
001449928 0247_ $$a10.1007/978-3-030-87086-7$$2doi
001449928 035__ $$aSP(OCoLC)1346313099
001449928 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dUKMGB$$dN$T$$dOCLCF$$dUKAHL$$dOCLCQ
001449928 049__ $$aISEA
001449928 050_4 $$aPN4784.O62
001449928 08204 $$a070.4/30285$$223/eng/20220930
001449928 24504 $$aThe algorithmic distribution of news :$$bpolicy responses /$$cJames Meese, Sara Bannerman, editors.
001449928 264_1 $$aCham :$$bPalgrave Macmillan,$$c[2022]
001449928 264_4 $$c©2022
001449928 300__ $$a1 online resource (xix, 313 pages) :$$billustrations.
001449928 336__ $$atext$$btxt$$2rdacontent
001449928 337__ $$acomputer$$bc$$2rdamedia
001449928 338__ $$aonline resource$$bcr$$2rdacarrier
001449928 4901_ $$aPalgrave global media policy and business,$$x2634-6206
001449928 500__ $$aIncludes index.
001449928 5050_ $$aChapter 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.
001449928 506__ $$aAccess limited to authorized users.
001449928 520__ $$aThis 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.
001449928 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed September 30, 2022).
001449928 650_0 $$aOnline journalism$$xPolitical aspects.
001449928 650_0 $$aJournalism$$xTechnological innovations.
001449928 650_0 $$aAlgorithms.
001449928 655_0 $$aElectronic books.
001449928 7001_ $$aMeese, James$$c(Writer on law),$$eeditor.
001449928 7001_ $$aBannerman, Sara,$$d1975-$$eeditor.
001449928 77608 $$iPrint version:$$z9783030870850
001449928 830_0 $$aPalgrave global media policy and business.$$x2634-6206
001449928 852__ $$bebk
001449928 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-87086-7$$zOnline Access$$91397441.1
001449928 909CO $$ooai:library.usi.edu:1449928$$pGLOBAL_SET
001449928 980__ $$aBIB
001449928 980__ $$aEBOOK
001449928 982__ $$aEbook
001449928 983__ $$aOnline
001449928 994__ $$a92$$bISE