17. Text as Data: Finding Stories in Text Collections

Chapters in this book

1. Frontmatter 1
2. Table of Contents 5
3. Introduction 11
4. Doing Issues With Data
5. 1. From Coffee to Colonialism: Data Investigations Into How the Poor Feed the Rich 27
6. 2. Repurposing Census Data to Measure Segregation in the United States 31
7. 3. Multiplying Memories while Discovering Trees in Bogotá 34
8. 4. Behind the Numbers: Home Demolitions in Occupied East Jerusalem 37
9. 5. Mapping Crash Incidents to Advocate for Road Safety in the Philippines 41
10. 6. Tracking Worker Deaths in Turkey 44
11. Assembling Data
12. 7. Building Your Own Data Set: Documenting Knife Crime in the United Kingdom 49
13. 8. Narrating a Number and Staying With the Trouble of Value 55
14. 9. Indigenous Data Sovereignty: Implications for Data Journalism 65
15. 10. Alternative Data Practices in China 74
16. 11. Making a Database to Document Land Conflicts Across India 84
17. 12. Reassembling Public Data in Cuba: Collaborations When Information Is Missing, Outdated or Scarce 87
18. 13. Making Data With Readers at La Nación 91
19. 14. Running Surveys for Investigations 96
20. Working With Data
21. 15. Data Journalism: What’s Feminism Got to Do With I.T.? 103
22. 16. Infrastructuring Collaborations Around the Panama and Paradise Papers 109
23. 17. Text as Data: Finding Stories in Text Collections 116
24. 18. Coding With Data in the Newsroom 124
25. 19. Accounting for Methods: Spreadsheets, Scripts and Programming Notebooks 128
26. 20. Working Openly in Data Journalism 138
27. 21. Making Algorithms Work for Reporting 143
28. 22. Journalism With Machines? From Computational Thinking to Distributed Cognition 147
29. Experiencing Data
30. 23. Ways of Doing Data Journalism 157
31. 24. Data Visualizations: Newsroom Trends and Everyday Engagements 162
32. 25. Sketching With Data 174
33. 26. The Web as Medium for Data Visualization 182
34. 27. Four Recent Developments in News Graphics 193
35. 28. Searchable Databases as a Journalistic Product 197
36. 29. Narrating Water Conflict With Data and Interactive Comics 206
37. 30. Data Journalism Should Focus on People and Stories 211
38. Investigating Data, Platforms and Algorithms
39. 31. The Algorithms Beat: Angles and Methods for Investigation 219
40. 32. Telling Stories With the Social Web 230
41. 33. Digital Forensics: Repurposing Google Analytics IDs 241
42. 34. Apps and Their Affordances for Data Investigations 246
43. 35. Algorithms in the Spotlight: Collaborative Investigations at Der Spiegel 257
44. Organizing Data Journalism
45. 36. The #ddj Hashtag on Twitter 267
46. 37. Archiving Data Journalism 274
47. 38. From The Guardian to Google News Lab: A Decade of Working in Data Journalism 279
48. 39. Data Journalism’s Ties With Civic Tech 286
49. 40. Open-Source Coding Practices in Data Journalism 291
50. 41. Data Feudalism: How Platforms Shape Cross-border Investigative Networks 295
51. 42. Data-Driven Editorial? Considerations for Working With Audience Metrics 299
52. Learning Data Journalism Together
53. 43. Data Journalism, Digital Universalism and Innovation in the Periphery 307
54. 44. The Datafication of Journalism: Strategies for Data-Driven Storytelling and Industry–Academy Collaboration 314
55. 45. Data Journalism by, about and for Marginalized Communities 331
56. 46. Teaching Data Journalism 338
57. 47. Organizing Data Projects With Women and Minorities in Latin America 344
58. Situating Data Journalism
59. 48. Genealogies of Data Journalism 351
60. 49. Data-Driven Gold Standards: What the Field Values as Award-Worthy Data Journalism 360
61. 50. Beyond Clicks and Shares: How and Why to Measure the Impact of Data Journalism Projects 370
62. 51. Data Journalism: In Whose Interests? 379
63. 52. Data Journalism With Impact 388
64. 53. What Is Data Journalism For? Cash, Clicks, and Cut and Trys 397
65. 54. Data Journalism and Digital Liberalism 405
66. Index 411