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Digital journalism, drones, and automation : the language and abstractions behind the news / Cate Dowd.

By: Material type: TextTextPublisher: New York : Oxford University Press, 2020Description: pages cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780190655877
  • 9780190655860
Subject(s): Additional physical formats: Online version:: Digital journalism, drones, and automationDDC classification:
  • 070.4023 DOW.D 23
LOC classification:
  • PN4784.T34 D69 2020
Summary: ""The next generation of systems and practices in journalism will require knowledge beyond online editing techniques, aggregation, social media flow and assumptions about fake news. The profession may also want to aim for ethical practices in journalism to be embedded in algorithms for new systems. Engagement in an early design phase may also be useful for scoping reforms for online and social media legislation. However, these pursuits require higher levels of understanding about backend data and online systems, and development of formal vocabulary for journalism concepts and practices. This new domain knowledge should also be expressed in ontological models, informed by participatory approaches. Some problems to be addressed include editorial control issues and fair distribution of news stories and other challenges of data and online systems. Problematic issues should also include the lack of transparency in corporate data sharing arrangements. The semantic language for future systems for journalism will be distinctly different from the vocabulary and classifications used for online news tags. It will also need to distinguish the vocabulary for social media things in context of journalism. Most importantly, the design of new systems will need participatory and semantic design methods that can support the need for high-level knowledge of data and semantic search methods. The influence of social media partnerships in news and backend data sharing are other problem areas. Data via integrated media systems in news organisations flows onto cloud servers where it is processed with a myriad of methods. These hubs are for the new generation of data sharing, where large volumes of data are sorted and processed at accelerated speeds, for a range of purposes. Cloud servers are now literally the highest levels of digital convergence, other than legislation, and the latter is lagging. This is where data is shared for advertising, social media benefits and other domain purposes. Integrated media systems bring benefits for global networked news media organisations, but they also enable more monetisation of data via cloud servers. ""-- Provided by publisher.
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Holdings
Item type Current library Home library Collection Call number Status Date due Barcode
Book Book Dept. of Communication and Journalism Processing Center Dept. of Communication and Journalism Non-fiction 070.4023 DOW.D (Browse shelf(Opens below)) Available DCJ6481

Includes bibliographical references and index.

""The next generation of systems and practices in journalism will require knowledge beyond online editing techniques, aggregation, social media flow and assumptions about fake news. The profession may also want to aim for ethical practices in journalism to be embedded in algorithms for new systems. Engagement in an early design phase may also be useful for scoping reforms for online and social media legislation. However, these pursuits require higher levels of understanding about backend data and online systems, and development of formal vocabulary for journalism concepts and practices. This new domain knowledge should also be expressed in ontological models, informed by participatory approaches. Some problems to be addressed include editorial control issues and fair distribution of news stories and other challenges of data and online systems. Problematic issues should also include the lack of transparency in corporate data sharing arrangements. The semantic language for future systems for journalism will be distinctly different from the vocabulary and classifications used for online news tags. It will also need to distinguish the vocabulary for social media things in context of journalism. Most importantly, the design of new systems will need participatory and semantic design methods that can support the need for high-level knowledge of data and semantic search methods. The influence of social media partnerships in news and backend data sharing are other problem areas. Data via integrated media systems in news organisations flows onto cloud servers where it is processed with a myriad of methods. These hubs are for the new generation of data sharing, where large volumes of data are sorted and processed at accelerated speeds, for a range of purposes. Cloud servers are now literally the highest levels of digital convergence, other than legislation, and the latter is lagging. This is where data is shared for advertising, social media benefits and other domain purposes. Integrated media systems bring benefits for global networked news media organisations, but they also enable more monetisation of data via cloud servers. ""-- Provided by publisher.

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