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About the author
Introduction
1.
Executive Summary
2.
I. Introduction
3.
II. History
3.1.
Overview
3.2.
On Data in the Media
3.3.
Rise of the Newsroom Machines
3.4.
Computer-assisted Reporting
3.5.
An Internet Inflection Point
4.
III. Why Data Journalism Matters
4.1.
Shifting Context
4.2.
The Growth of the News App
4.3.
On Empiricism, Skepticism, and Public Trust
4.4.
Newsroom Analytics
4.5.
Data-driven Business Models
4.6.
New Nonprofit Revenues
4.7.
Fuel for Robo-journalism
5.
IV. Notable Examples
5.1.
National and International Data Journalism Awards
5.2.
Data and Reporting Paired with Narrative
5.3.
Crowdsourcing Data Creation and Analysis
5.4.
Public Service
5.5.
All Organizations - Great and Small
5.6.
Embracing Data Transparency
5.7.
Following the Money
5.8.
Mapping Power and Influence
5.9.
Geojournalism, Satellites, and the Ground Truth
5.10.
Working Without Freedom of Information Laws
5.11.
Data Journalism and Activism
6.
V. Pathways to the Profession
6.1.
Mentorship, Numeracy, Competition, Recruiting
6.2.
Massive Open Online Courses (MOOC) to the Rescue?
6.3.
Hacks, Hackers, and Peer-to-peer Learning
7.
VI. Tools of the Trade
7.1.
Digging into the CAR Toolbox
7.2.
New Tools to Wrangle Unstructured Data
8.
VII. Open Government
8.1.
Open Data and Raw Data
8.2.
Data and Ethics
8.3.
Gun Data, Maps, and Radical Transparency
9.
VIII. On to the Future
9.1.
Recommendations and Predictions
10.
IX. Appendices
10.1.
Author’s Biography
11.
Endnotes
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The Art and Science of Data-Driven Journalism
IX. Appendices