| Descript |
1 online resource |
| Subject |
Journalism -- Data processing
|
|
Data mining
|
|
Information visualization
|
| Series |
Data processing
|
| 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 Reassembling Public Data in Cuba: Collaborations When Information Is Missing, Outdated or Scarce -- 13.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 |
| Note |
Available to OhioLINK libraries |
| 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' |
| Add Author |
Bounegru, Liliana, editor
|
|
Gray, Jonathan, 1983- editor
|
|
Ohio Library and Information Network
|
| ISBN |
9789048542079 |
|
9048542073 |
| OCLC # |
1246726294 |
|
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