Data journalism and the COVID-19 disruption:
Data Journalism and the COVID-19 Disruption offers an international, multidisciplinary account of how and to what extent the COVID-19 pandemic has been a blessing for data journalism.
Gespeichert in:
| Weitere Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
London ; New York
Routledge, Taylor & Francis Group
2025
|
| Schriftenreihe: | Routledge research in journalism
52 |
| Online-Zugang: | DE-188 URL des Erstveröffentlichers |
| Zusammenfassung: | Data Journalism and the COVID-19 Disruption offers an international, multidisciplinary account of how and to what extent the COVID-19 pandemic has been a blessing for data journalism. Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Table of Contents -- List of Figures -- List of Tables -- List of Contributors -- Acknowledgement -- Introduction -- Part 1 Data Journalism Practices: Achievements, Changes and Challenges -- 1 Four Shifts in Data Journalism Practice During the COVID-19 Pandemic -- 2 Communicating Uncertainty in Data Journalism During the COVID-19 Pandemic -- 3 Data Journalism and Investigative News Reporting Practices During the Pandemic: The Case of Zimbabwe and South Africa -- 4 Beyond the Numbers: Spotlight on Data and Citizen Journalism During Australia's COVID-19 Crisis -- 5 The Ethics of Data Journalism in a Pandemic -- Part 2 Data Journalism and the Newsroom -- 6 Automating the COVID-19 Story in the Newsroom -- 7 Data Journalism Practices During COVID-19 in the Main Spanish Newspapers: Features of Data-Driven Stories and the Influence of the Pandemic on Newsrooms -- 8 Longitudinal Reporting and the COVID-19 Pandemic: The Need for Integrated Newsroom Data Practice -- Part 3 Data Journalism and its Audiences -- 9 Factors Influencing Audience Engagement with COVID-19 Data Visualisations: A Case Study -- 10 The Audience Turn in Data Journalism: How do Data Journalists Conceptualise and Perform Audience Engagement? -- 11 Trustworthiness, Accuracy, and Transparency: The Audience's Perceptions of Errors in Data Journalism -- Part 4 Data Journalism, Data, and External Entities -- 12 From Restrictions on Freedom of Expression and Access to COVID-19: Open-Source Data in Investigative Arab Journalism -- 13 Shaping Data Journalism in Times of Crisis: Critical Perspectives on the Potential Role of the State -- 14 Data Journalism and Public Health During and After the COVID-19 Pandemic: Opportunities and Challenges to Improve Pandemic Preparedness and Research. |
| Beschreibung: | 1 Online-Ressource (xvii, 245 Seiten) Diagramme |
| ISBN: | 9781003428923 |
| DOI: | 10.4324/9781003428923 |
Internformat
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| 490 | 1 | |a Routledge research in journalism |v 52 | |
| 520 | 3 | |a Data Journalism and the COVID-19 Disruption offers an international, multidisciplinary account of how and to what extent the COVID-19 pandemic has been a blessing for data journalism. | |
| 520 | 3 | |a Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Table of Contents -- List of Figures -- List of Tables -- List of Contributors -- Acknowledgement -- Introduction -- Part 1 Data Journalism Practices: Achievements, Changes and Challenges -- 1 Four Shifts in Data Journalism Practice During the COVID-19 Pandemic -- 2 Communicating Uncertainty in Data Journalism During the COVID-19 Pandemic -- 3 Data Journalism and Investigative News Reporting Practices During the Pandemic: The Case of Zimbabwe and South Africa -- 4 Beyond the Numbers: Spotlight on Data and Citizen Journalism During Australia's COVID-19 Crisis -- 5 The Ethics of Data Journalism in a Pandemic -- Part 2 Data Journalism and the Newsroom -- 6 Automating the COVID-19 Story in the Newsroom -- 7 Data Journalism Practices During COVID-19 in the Main Spanish Newspapers: Features of Data-Driven Stories and the Influence of the Pandemic on Newsrooms -- 8 Longitudinal Reporting and the COVID-19 Pandemic: The Need for Integrated Newsroom Data Practice -- Part 3 Data Journalism and its Audiences -- 9 Factors Influencing Audience Engagement with COVID-19 Data Visualisations: A Case Study -- 10 The Audience Turn in Data Journalism: How do Data Journalists Conceptualise and Perform Audience Engagement? -- 11 Trustworthiness, Accuracy, and Transparency: The Audience's Perceptions of Errors in Data Journalism -- Part 4 Data Journalism, Data, and External Entities -- 12 From Restrictions on Freedom of Expression and Access to COVID-19: Open-Source Data in Investigative Arab Journalism -- 13 Shaping Data Journalism in Times of Crisis: Critical Perspectives on the Potential Role of the State -- 14 Data Journalism and Public Health During and After the COVID-19 Pandemic: Opportunities and Challenges to Improve Pandemic Preparedness and Research. | |
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Datensatz im Suchindex
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| author2 | Tong, Jingrong |
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| author_GND | (DE-588)1166770192 |
| author_facet | Tong, Jingrong |
| building | Verbundindex |
| bvnumber | BV049914143 |
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| collection | ZDB-7-TFC |
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| dewey-full | 070.9/052 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 070 - Documentary, educational, news media; journalism |
| dewey-raw | 070.9/052 |
| dewey-search | 070.9/052 |
| dewey-sort | 270.9 252 |
| dewey-tens | 070 - Documentary, educational, news media; journalism |
| discipline | Allgemeines Soziologie |
| doi_str_mv | 10.4324/9781003428923 |
| format | Electronic eBook |
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| id | DE-604.BV049914143 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-06T15:09:23Z |
| institution | BVB |
| isbn | 9781003428923 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-035252854 |
| oclc_num | 1466916180 |
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| owner | DE-188 |
| owner_facet | DE-188 |
| physical | 1 Online-Ressource (xvii, 245 Seiten) Diagramme |
| psigel | ZDB-7-TFC |
| publishDate | 2025 |
| publishDateSearch | 2024 |
| publishDateSort | 2024 |
| publisher | Routledge, Taylor & Francis Group |
| record_format | marc |
| series | Routledge research in journalism |
| series2 | Routledge research in journalism |
| spelling | Data journalism and the COVID-19 disruption edited by Jingrong Tong London ; New York Routledge, Taylor & Francis Group 2025 1 Online-Ressource (xvii, 245 Seiten) Diagramme txt rdacontent c rdamedia cr rdacarrier Routledge research in journalism 52 Data Journalism and the COVID-19 Disruption offers an international, multidisciplinary account of how and to what extent the COVID-19 pandemic has been a blessing for data journalism. Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Table of Contents -- List of Figures -- List of Tables -- List of Contributors -- Acknowledgement -- Introduction -- Part 1 Data Journalism Practices: Achievements, Changes and Challenges -- 1 Four Shifts in Data Journalism Practice During the COVID-19 Pandemic -- 2 Communicating Uncertainty in Data Journalism During the COVID-19 Pandemic -- 3 Data Journalism and Investigative News Reporting Practices During the Pandemic: The Case of Zimbabwe and South Africa -- 4 Beyond the Numbers: Spotlight on Data and Citizen Journalism During Australia's COVID-19 Crisis -- 5 The Ethics of Data Journalism in a Pandemic -- Part 2 Data Journalism and the Newsroom -- 6 Automating the COVID-19 Story in the Newsroom -- 7 Data Journalism Practices During COVID-19 in the Main Spanish Newspapers: Features of Data-Driven Stories and the Influence of the Pandemic on Newsrooms -- 8 Longitudinal Reporting and the COVID-19 Pandemic: The Need for Integrated Newsroom Data Practice -- Part 3 Data Journalism and its Audiences -- 9 Factors Influencing Audience Engagement with COVID-19 Data Visualisations: A Case Study -- 10 The Audience Turn in Data Journalism: How do Data Journalists Conceptualise and Perform Audience Engagement? -- 11 Trustworthiness, Accuracy, and Transparency: The Audience's Perceptions of Errors in Data Journalism -- Part 4 Data Journalism, Data, and External Entities -- 12 From Restrictions on Freedom of Expression and Access to COVID-19: Open-Source Data in Investigative Arab Journalism -- 13 Shaping Data Journalism in Times of Crisis: Critical Perspectives on the Potential Role of the State -- 14 Data Journalism and Public Health During and After the COVID-19 Pandemic: Opportunities and Challenges to Improve Pandemic Preparedness and Research. Tong, Jingrong (DE-588)1166770192 edt Erscheint auch als Druck-Ausgabe, Paperback 978-1-032-55078-7 Erscheint auch als Druck-Ausgabe, Hardcover 978-1-032-55077-0 Routledge research in journalism 52 (DE-604)BV042334441 52 https://doi.org/10.4324/9781003428923 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Data journalism and the COVID-19 disruption Routledge research in journalism |
| title | Data journalism and the COVID-19 disruption |
| title_auth | Data journalism and the COVID-19 disruption |
| title_exact_search | Data journalism and the COVID-19 disruption |
| title_full | Data journalism and the COVID-19 disruption edited by Jingrong Tong |
| title_fullStr | Data journalism and the COVID-19 disruption edited by Jingrong Tong |
| title_full_unstemmed | Data journalism and the COVID-19 disruption edited by Jingrong Tong |
| title_short | Data journalism and the COVID-19 disruption |
| title_sort | data journalism and the covid 19 disruption |
| url | https://doi.org/10.4324/9781003428923 |
| volume_link | (DE-604)BV042334441 |
| work_keys_str_mv | AT tongjingrong datajournalismandthecovid19disruption |