Spis treści: „The Data Journalism Handbook 2”

Spis treści publikacji pt. „The Data Journalism Handbook 2”.

Tytuł: „The Data Journalism Handbook 2”
Autor: Praca zbiorowa
Wydawca: European Journalism Centre
Język: Angielski
Liczba stron: –

Spis treści

Spis treści / Table of contents / Chapters

1. Introduction
2. Behind the Numbers: Home Demolitions in Occupied East Jerusalem
3. Multiplying Memories While Discovering Trees in Bogota
4. From Coffee to Colonialism: Data Investigations into How the Poor Feed the Rich
5. Investigating Extractive Industries in Peru
6. Mobilising for Road Safety in the Philippines
7. Contextualising Carbon Emissions
8. Engaging Publics around Data Reporting on the Arab world with Instagram
9. Using Data Science and Visualization to Explore Segregation in the United States
10. Counting Transgender Lives
11. Documenting Land Con|icts Across India
12. Alternative Data Practices in China
13. Reassembling Public Data in Cuba: How Journalists, Researchers and Students Collaborate When Information Is Missing, Outdated or Scarce
14. Narrating a Number and Staying with the Trouble of Value
15. Structured Thinking: The Case for Making Data
16. Making Data with Readers at La Nacion
17. Making Data for Investigations at Thomson Reuters, openDemocracy and Greenpeace
18. Mapping Pollution in Indian Cities
19. Accounting for Methods in Data Journalism: Spreadsheets, Scripts and Programming Notebooks
20. Ways of Doing Transparency in Data Journalism
21. Data Journalism: What’s Feminism Got to Do With It?
22. Making Algorithms Work for Reporting
23. Coding in the Newsroom
24. Computational Reasoning at Full Fact and Urbs Media
25. Data Methods in Journalism
26. Exploring Relationships with Graph Databases
27. Text as Data: Finding Stories in Corpora
28. Online Devices and their Research Affordances for Data Investigations
29. How ICIJ Deals with Huge Data Dumps like the Panama and Paradise Papers
30. Data Visualisations: Newsroom Trends and Everyday Engagements
31. Searchable Databases as a Journalistic Product
32. The Web as a Medium for Data Visualisation
33. Developments in the Field of News Graphics
34. Understanding Con|icts with Data Comics
35. Data Journalism for TV and Radio
36. Telling Stories with the Social Web
37. The Algorithms Beat: Angles and Methods for Investigation
38. Algorithms in the Spotlight: Collaborative Investigations at Spiegel Online
39. How Do Platforms See Humans?
40. Investigations into the Digital: Reporting on Misinformation, Platforms and Digital Culture at BuzzFeed News
41. Telling Data: Digital Methods for Analysing Web Trackers and Other Natively Digital Objects
42. Archiving Data Journalism
43. Data Journalism’s Entanglements with Civic Tech
44. Data Feudalism: How Platform Journalism and the Gig Economy Shape Cross-Border Investigative Networks
45. Data Journalism in the Newsroom
46. Data Journalism Culture
47. Organising Cross-Border Data Journalism Initiatives: Case Studies in Africa
48. A Decade of Data Journalism: 2009-2019
49. Open Source Coding Practices in Data Journalism
50. Data Journalism and Gender
51. The #ddj Hashtag – Eunice Au (GIJN) and Marc Smith (Connected Action)
52. Data-Driven Editorial? Considerations for Working with Audience Metrics
53. Data Journalism By, About and For Marginalised Communities
54. Teaching Data Journalism at Universities in the United States
55. Data Journalism MOOCs in Turkey
56. Hackathons and Bootcamps in Kyrgyzstan: Re|ections on Training Data Journalists in Central Asia
57. Data Journalism, Digital Universalism and Innovation in the Periphery
58. Genealogies of Data Journalism
59. Data-Driven Gold-Standards: What the Field Values as Award-Worthy Data Journalism and How Journalism Co-Evolves with the Data{cation of Society
60. Data Journalism with Impact
61. Beyond Clicks and Shares: How and Why to Measure the Impact of Data Journalism Projects
62. The Economics of Data Journalism
63. The Data{cation of Journalism
64. Forms of Data Journalism
65. Data Journalism and its Publics
66. Data Journalism: In Whose Interests?
67. Indigenous Data Sovereignty
68. What is Data Journalism For? Cash, Clicks, and Cut and Trys
69. Statisticians and Journalists: Tales of Two Professions
70. Data Journalism and Digital Liberalism
71. Afterword: Data Journalism and Experiments in Reporting

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