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

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 conse...

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Bibliographic Details
TeilnehmendeR:
Place / Publishing House:Amsterdam : : Amsterdam University Press,, 2021.
Year of Publication:2021
Language:English
Series:Digital Studies
Physical Description:1 online resource (415 pages) :; digital, PDF file(s).
Notes:Title from publisher's bibliographic system (viewed on 27 Apr 2021).
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Table of 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 Reassembling Public Data in Cuba: Collaborations When Information Is Missing, Outdated or Scarce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