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Journalism in the data age / Jingrong Tong.

By: Material type: TextTextPublication details: London: Sage Publications, 2022.Edition: 1st edDescription: 222pISBN:
  • 9781526497321
Subject(s): DDC classification:
  • 070.4 TON
  • 23
Contents:
Summary: "Journalism today is entwined with the digital. Stories can come from crowdsourcing and content farms. They can incorporate data visualisations and virtual reality. Journalists can find themselves working as self-employed digital entrepreneurs or for tech giants like Google and Face book.This book explores the development of journalism in this era of digital tech, and big and open data. It explores the crucial new developments of online journalism, data journalism, computational journalism and entrepreneurial journalism, and what this means for our understanding of journalism as a profession, and as a part of society. Using a wealth of international case studies, Jingrong Tong explores contemporary issues such as: AI, Automated news, 'robot reporters', and algorithmic accountability. Digital business models, from venture capital to tech start-ups to crowd-funding. Audiences and dissemination in and age of platform capitalism. Questions of censorship, democracy and state control."
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Item type Current library Call number Copy number Status Barcode
Books Books Main Library 070.4 TON (Browse shelf(Opens below)) 1 Available 47290
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The communication environment in the data age....................

Digital technologies and the Information Technology Revolution (ITR) Five features of the communication environment in the data age Are digital technologies 'disruptive technologies.

The crises of quality journalism....................

The financial crisis of journalism

Going online and the business model experimentation of the news media

Why has advertising migrated to the Internet

Job cuts and the closures of newsrooms

The decline of quality reporting

Online journalism

The rise and development of online journalism

New skills, practices and jobs

Key debates about online journalism

Data journalism....................

What is data journalism?

A brief history of data journalism The development of data journalism today

What do data-based news stories look like today

Challenges for data journalism

Key academic debates about data journalism

Algorithms, automation and journalism....................

What is an algorithm?

Three ways in which algorithms have influenced journalism

The implications of using algorithms for journalism

Entrepreneurial journalism....................

What is entrepreneurial journalism

Why entrepreneurial journalism

Is it still journalism

Concerns and issues surrounding entrepreneurial journalism

Understanding the audience....................

Why study audiences

What is the audience

Journalism and audiences

Journalistic autonomy....................

What is journalistic autonomy

Journalistic legitimacy

The influence of digital technologies on autonomy in journalistic practice

Media (self-)regulation and government interference in democratic contexts

Tightening media control in authoritarian regimes or regimes in transition

Journalistic legitimacy....................

Journalism as a 'profession'

Achieving and maintaining legitimacy

Journalistic legitimacy in crisis

The attempts of news organisations and journalists to retain and revive journalistic legitimacy



"Journalism today is entwined with the digital. Stories can come from crowdsourcing and content farms. They can incorporate data visualisations and virtual reality. Journalists can find themselves working as self-employed digital entrepreneurs or for tech giants like Google and Face book.This book explores the development of journalism in this era of digital tech, and big and open data. It explores the crucial new developments of online journalism, data journalism, computational journalism and entrepreneurial journalism, and what this means for our understanding of journalism as a profession, and as a part of society. Using a wealth of international case studies, Jingrong Tong explores contemporary issues such as: AI, Automated news, 'robot reporters', and algorithmic accountability. Digital business models, from venture capital to tech start-ups to crowd-funding. Audiences and dissemination in and age of platform capitalism. Questions of censorship, democracy and state control."

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