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The data journalism handbook : towards a critical data practice / edited by Liliana Bounegru and Jonathan Gray.

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Format:
Book
Author/Creator:
Bounegru, Liliana.
Contributor:
Bounegru, Liliana, editor.
Grey, Jonathan, 1983- editor.
Series:
Digital Studies
Digital studies
Language:
English
Subjects (All):
Journalism--Data processing.
Journalism.
Data mining.
Information visualization.
Physical Description:
1 online resource (415 pages) : digital, PDF file(s).
Edition:
1st ed.
Place of Publication:
Amsterdam : Amsterdam University Press, 2021.
Language Note:
English
Summary:
The Data Journalism Handbook: Towards a Critical Data Practice provides a rich and panoramic introduction to data journalism, combining both critical reflection and practical insight. It offers a diverse collection of perspectives on how data journalism is done around the world and the broader consequences of datafication in the news, serving as both a textbook and a sourcebook for this emerging field. With more than 50 chapters from leading researchers and practitioners of data journalism, it explores the work needed to render technologies and data productive for journalistic purposes. It also gives a 'behind the scenes' look at the social lives of datasets, data infrastructures, and data stories in newsrooms, media organizations, startups, civil society organizations and beyond. The book includes sections on 'doing issues with data', 'assembling data', 'working with data', 'experiencing data', 'investigating data, platforms and algorithms', 'organizing data journalism', 'learning data journalism together' and 'situating data journalism'.
Contents:
Frontmatter
Table of Contents
Introduction
Doing Issues With Data
1. From Coffee to Colonialism: Data Investigations Into How the Poor Feed the Rich
2. Repurposing Census Data to Measure Segregation in the United States
3. Multiplying Memories while Discovering Trees in Bogotá
4. Behind the Numbers: Home Demolitions in Occupied East Jerusalem
5. Mapping Crash Incidents to Advocate for Road Safety in the Philippines
6. Tracking Worker Deaths in Turkey
Assembling Data
7. Building Your Own Data Set: Documenting Knife Crime in the United Kingdom
8. Narrating a Number and Staying With the Trouble of Value
9. Indigenous Data Sovereignty: Implications for Data Journalism
10. Alternative Data Practices in China
11. Making a Database to Document Land Conflicts Across India
12. Reassembling Public Data in Cuba: Collaborations When Information Is Missing, Outdated or Scarce
13. Making Data With Readers at La Nación
14. Running Surveys for Investigations
Working With Data
15. Data Journalism: What's Feminism Got to Do With I.T.?
16. Infrastructuring Collaborations Around the Panama and Paradise Papers
17. Text as Data: Finding Stories in Text Collections
18. Coding With Data in the Newsroom
19. Accounting for Methods: Spreadsheets, Scripts and Programming Notebooks
20. Working Openly in Data Journalism
21. Making Algorithms Work for Reporting
22. Journalism With Machines? From Computational Thinking to Distributed Cognition
Experiencing Data
23. Ways of Doing Data Journalism
24. Data Visualizations: Newsroom Trends and Everyday Engagements
25. Sketching With Data
26. The Web as Medium for Data Visualization
27. Four Recent Developments in News Graphics
28. Searchable Databases as a Journalistic Product
29. Narrating Water Conflict With Data and Interactive Comics
30. Data Journalism Should Focus on People and Stories
Investigating Data, Platforms and Algorithms
31. The Algorithms Beat: Angles and Methods for Investigation
32. Telling Stories With the Social Web
33. Digital Forensics: Repurposing Google Analytics IDs
34. Apps and Their Affordances for Data Investigations
35. Algorithms in the Spotlight: Collaborative Investigations at Der Spiegel
Organizing Data Journalism
36. The #ddj Hashtag on Twitter
37. Archiving Data Journalism
38. From The Guardian to Google News Lab: A Decade of Working in Data Journalism
39. Data Journalism's Ties With Civic Tech
40. Open-Source Coding Practices in Data Journalism
41. Data Feudalism: How Platforms Shape Cross-border Investigative Networks
42. Data-Driven Editorial? Considerations for Working With Audience Metrics
Learning Data Journalism Together
43. Data Journalism, Digital Universalism and Innovation in the Periphery
44. The Datafication of Journalism: Strategies for Data-Driven Storytelling and Industry-Academy Collaboration
45. Data Journalism by, about and for Marginalized Communities
46. Teaching Data Journalism
47. Organizing Data Projects With Women and Minorities in Latin America
Situating Data Journalism
48. Genealogies of Data Journalism
49. Data-Driven Gold Standards: What the Field Values as Award-Worthy Data Journalism
50. Beyond Clicks and Shares: How and Why to Measure the Impact of Data Journalism Projects
51. Data Journalism: In Whose Interests?
52. Data Journalism With Impact
53. What Is Data Journalism For? Cash, Clicks, and Cut and Trys
54. Data Journalism and Digital Liberalism
Index
Notes:
Title from publisher's bibliographic system (viewed on 27 Apr 2021).
This eBook is made available Open Access under a CC BY-SA 4.0 license: https://creativecommons.org/licenses/by-sa/4.0https://www.aup.nl/en/publish/open-access
Description based on publisher supplied metadata and other sources.
ISBN:
1-04-079783-0
1-003-70575-8
1-04-077272-2
90-485-4207-3
9781003705758
OCLC:
1246726294

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