This straightforward and effective how-to guide provides the basics for any reporter or journalism student beginning to use data for news stories. It has step-by-step instructions on how to do basic data analysis in journalism while addressing why these digital tools should be an integral part of reporting in the 21st century. In an ideal core text for courses on data-driven journalism or computer-assisted reporting, Houston emphasizes that journalists are accountable for the accuracy and relevance of the data they acquire and share.

With a refreshed design, this updated new edition includes expanded coverage on social media, scraping data from the web, and text-mining, and provides journalists with the tips and tools they need for working with data.

Autorentext

Brant Houston is a Professor and the Knight Chair in Investigative Reporting at the University of Illinois, where he teaches journalism and oversees an online newsroom. An award-winning journalist, he was an investigative reporter at U.S. newspapers for 17 years. For more than a decade, he served as executive director of Investigative Reporters and Editors, a now 6,000-member association headquartered at the University of Missouri School of Journalism, where he also taught investigative and data reporting. Houston has conducted more than 400 seminars for professional journalists and students in 30 countries, and he is a co-founder of networks of nonprofit newsrooms and educators throughout the world.

Inhalt

1. Data Journalism: What Computer-Assisted Reporting Is and Why Journalists Use It

   Part I. Learning Computer-Assisted Reporting Skills

   2. Online Resources: Researching and Finding Data on the Internet

   3. Spreadsheets, Part 1: Basic Math for Journalists

   4. Spreadsheets, Part 2: More Math That Matters

   5. Database Managers, Part 1: Searching and Summarizing

   6. Database Managers, Part 2: Matchmaking and Advanced Queries

   Part II. Using Computer-Assisted Reporting In News Stories

   7. Getting Data Not on the Web: How to Find and Negotiate for Data

   8. Building Your Own Database: How to Develop Exclusive Sources

   9. Fact Checking the Database: How to Find and Clean Dirty Data

   10. Doing the Computer-Assisted Reporting Story: How to Report and Write with Data

   APPENDICES
   A. A Short Introduction to Mapping
   B. A Short Introduction to Social Network Analysis
   C. Choosing Hardware and Software

   Selected Bibliography
   Glossary