Columbia University
May 30, 2014
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The Art and Science of Data-Driven Journalism презентация
Содержание
- 1. The Art and Science of Data-Driven Journalism
- 2. You know something, John Snow.
- 3. This John Snow knew something.
- 4. Newspapers have used data for centuries Source: The Guardian
- 5. 1960s: computer-assisted reporting (CAR) Bob Woodward, via Cliff1066
- 6. Traditional tools applying tech to journalism… Calculators
- 7. In the 1990s, government and civil society spread the Internet globally
- 8. In the 2000s, mobile phones and social networking connected us ever more
- 9. In the 2010s, data creation exploded. Image Credit: Real Time Rome from Senseable.MIT.edu
- 10. “Data-driven journalism is the future” Source: Tim Berners-Lee in the Guardian
- 11. …combined with new tools & context… Online
- 12. 2014: data journalism is the present Gathering,
- 14. Trendy but not new The collection, protection
- 16. Dollars for Docs
- 17. The Guardian
- 18. Chicago Tribune Flame retardants
- 20. A tangled web
- 22. Los Angeles Times
- 24. La Nacion
- 25. Reuters: Connected China
- 29. Best practices?
- 30. Report it out
- 32. Show people something new about the world
- 34. Tell a story
- 35. Center for Public Integrity
- 36. Storytelling still matters. “We use these tools
- 37. Make it personal
- 39. Understand the context for the data
- 41. Show your data
- 43. Show your work
- 45. Share your code
- 47. Consider ethics
- 48. Questions Is the data clean? Is the
- 49. Collection Who gathered the data? How? Was
- 51. Data Analysis & Numeracy N = ?
- 53. Presentation
- 54. Bad Data Viz wtfviz.net
- 55. Present data with context, in context
- 56. Be aware of de-anonymization risks
- 57. Emerging trends
- 58. geojournalism
- 59. Networked reporting of corruption ICIJ: Offshore Leaks
- 60. International Consortium of Investigative Journalists Offshoring $
- 61. Create your data “If Stage 1 of data
- 62. Safecast open source Geiger counter
- 63. Networked accountability
- 64. Bus route in Nairobi, Kenya
- 65. Sensor Journalism
- 68. Citizens as Sensors: Andhra Pradesh
- 69. Drones + data collection
- 70. Privacy challenges
- 72. Open Data, FOIA & Press Freedom
- 73. An expanding number of data sources
- 76. Social data and crisis data
- 77. Open government data platforms
- 80. Fauxpen Data In an age of “openwashing”…
- 83. Center for Public Integrity
- 84. Accountability for “personalized redlining” Gun map graphic
- 85. Transparency for geographic profiling Gun map graphic WSJ: Websites vary prices, based upon user information
- 86. Monitoring predictive policing Gun map graphic Verge: Chicago crime and profiling Geekwire: Predictive Policing
- 87. Investigating human tissue trafficking Gun map graphic ICIJ: The data behind skin and bone
- 88. Data + journalism + activism + responsive institutions = social change
- 89. The fun part: predictions, prognostications and recommendations!
- 90. 1) Data will become even more of a strategic resource for media.
- 91. 2) Better tools will emerge that democratize data skills.
- 92. 3) News apps will explode as a primary way people consume data journalism.
- 93. 4) Being digital first means being data-centric and mobile-friendly.
- 94. 5. Expect more robo-journalism. Human relationships and storytelling still matter.
- 95. 6) More journalists will need to study
- 96. 7) There will be higher standards for accuracy and corrections. Source: Jake Harris
- 97. 8) Competency in security and data protection
- 98. 9) Demand for more transparency on reader data collection and use. Source: eConsultancy
- 99. 10) More conflicts over public records, data scraping, and ethics will arise. Gun map graphic
- 100. 12) Data-driven personalization and predictive news in wearables.
- 101. 13) More diverse newsrooms will produce better
- 102. 14) Be mindful of data-ism and bad data. Embrace skepticism.
You know something, John Snow.
Слайд 6Traditional tools applying tech to journalism…
Calculators and Graphs
Mainframe and PCs
Spreadsheets
Databases
Text and
code editors
Statistics
Programming
Statistics
Programming
Слайд 11…combined with new tools & context…
Online spreadsheets and wikis
Data visualization tools
Open
source frameworks
Code sharing
Agile development
Cloud storage and processing (EC2 & Heroku)
More data and more access
Privacy and security riskss
Code sharing
Agile development
Cloud storage and processing (EC2 & Heroku)
More data and more access
Privacy and security riskss
Слайд 122014: data journalism is the present
Gathering, cleaning, organizing, analyzing, visualizing and
publishing data to support the creation of acts of journalism
Слайд 14Trendy but not new
The collection, protection and interrogation of data as
a source, complementing traditional “shoe leather” investigative reporting relying on witnesses, experts and authorities
Слайд 36Storytelling still matters.
“We use these tools to find and tell stories.
We use them like we use a telephone.
The story is still the thing.” - Anthony DeBarros USA Today
The story is still the thing.” - Anthony DeBarros USA Today
Source: Data Journalism and the Big Picture
Слайд 48Questions
Is the data clean?
Is the data representative?
What biases might be hidden
in the data?
Was the data legally obtained?
Does the data contain personally identifiable information (PII)?
Was the data legally obtained?
Does the data contain personally identifiable information (PII)?
Слайд 49Collection
Who gathered the data? How?
Was it clear how data would be
used?
Can people opt-out of collection or usage?
“Notice and consent” is not enough
“Privacy by design” applies to news apps
Can people opt-out of collection or usage?
“Notice and consent” is not enough
“Privacy by design” applies to news apps
Слайд 51Data Analysis & Numeracy
N = ?
Average vs Median
Statistical significance?
Correlation != causation
Regression
to the mean
Слайд 60International Consortium of Investigative Journalists
Offshoring $
80 journalists 40 countries 260 gigabytes
2.5
million files
Слайд 61Create your data
“If Stage 1 of data journalism was “find and scrape
data,” then…
Stage 2 was “ask government agencies to release data” in easy to use formats.
Stage 3 is going to be “make your own data”, and those sources of data are going to be automated and updated in real-time.”
-Javaun Moradi, Mozilla
-Javaun Moradi, Mozilla
Слайд 80Fauxpen Data
In an age of “openwashing”…
We need to:
Evaluate licenses.
Peruse the Terms
of Service.
Review the governance.
Look at community.
Check the format.
Review the governance.
Look at community.
Check the format.
Слайд 85Transparency for geographic profiling
Gun map graphic
WSJ: Websites vary prices, based upon
user information
Слайд 86Monitoring predictive policing
Gun map graphic
Verge: Chicago crime and profiling
Geekwire: Predictive Policing
Слайд 978) Competency in security and data protection will become more important.
Source: Jake Harris
Слайд 9910) More conflicts over public records, data scraping, and ethics will
arise.
Gun map graphic
Слайд 10113) More diverse newsrooms will produce better (data) journalism.
SOURCE: The Atlantic
A
2013 ASNE survey of 68 online news organizations
found that 63% of them had no minorities.
found that 63% of them had no minorities.
