Data journalism and the COVID-19 disruption / edited by Jingrong Tong.

Format:

Book

Contributor:

Tong, Jingrong, editor.

Taylor & Francis eBooks

Series:

Routledge research in journalism

Language:

English

Subjects (All):

Journalism--Data processing--Case studies.

Journalism.

COVID-19 Pandemic, 2020-2023, in mass media--Case studies.

COVID-19 Pandemic, 2020-2023, in mass media.

Science journalism--Case studies.

Science journalism.

Investigative reporting--Case studies.

Investigative reporting.

Physical Description:

1 online resource.

Place of Publication:

Abingdon, Oxon ; New York, NY : Routledge, 2025.

Biography/History:

Jingrong Tong is Senior Lecturer in Digital News Cultures at the University of Sheffield. She is the author of Data for Journalism: Between Transparency and Accountability and seven other books. Her current research focuses on media freedom, the impact of digital technology on journalism, and social media communication of social issues.

Contents:

Four shifts in data journalism practice during the COVID-19 pandemic / Ashley Kirk

Communicating uncertainty in data journalism during the Covid-19 pandemic / Paul Bradshaw

Data journalism and investigative news reporting practices during the pandemic : the case of Zimbabwe and South Africa / Allen Munoriyarwa and Sarah Chiumbu

Beyond the numbers : spotlight on data and citizen journalism during Australia's Covid-19 crisis / Kim Doyle

The ethics of data journalism in a pandemic / Nathan Sparkes

Automating the COVID-19 story in the newsroom / Carmen Aguilar García

Data journalism practices during COVID-19 in the main Spanish newspapers : features of data-driven stories and the influence of the pandemic on newsrooms / Alba Córdoba-Cabús and Pedro Farias-Batlle

Longitudinal reporting and the COVID-19 pandemic : the need for integrated newsroom data practice / Joanna S Kao and Susan E McGregor

Factors influencing audience engagement with COVID-19 data visualisations : a case study / Jingrong Tong

The audience turn in data journalism : how do data journalists conceptualize and perform audience engagement? / Lindita Camaj, Jason A. Martin, and Gerry Lanosga

Trustworthiness, accuracy, and transparency : the audience's perceptions of how the audience perceived errors in data journalism / Mathias-Felipe de-Lima-Santos and Marília Gehrke

From restrictions on freedom of expression and access to COVID-19 : OpenSource data in investigative Arab journalism / Miral Sabry Al Ashry

Shaping data journalism in times of crisis : critical perspectives on the role of the state / Shangyuan Wu

Data journalism and public health during and after the COVID-19 pandemic : opportunities and challenges to improve pandemic preparedness and research / Angel N. Desai, Sangeeta Bhatia, Anne Cori, and Britta Lassmann.

Notes:

Includes bibliographical references and index.

Electronic reproduction. London Available via World Wide Web.

Description based upon online resource; title from PDF title page (viewed July 24th, 2024).

Other Format:

Print version: Data journalism and the COVID-19 disruption

ISBN:

9781003428923

1003428924

9781040110331

1040110339

9781040110416

104011041X

Publisher Number:

99996798617

Access Restriction:

Restricted for use by site license.