Data for journalists : a practical guide for computer-assisted reporting

書誌事項

Data for journalists : a practical guide for computer-assisted reporting

Brant Houston

Routledge, 2019

5th ed

  • : pbk

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注記

Previous ed.: 2015

Includes bibliographical references (p. 215-216) and index

内容説明・目次

内容説明

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.

目次

Chapter 1. What Data Journalism and Computer-Assisted Reporting Is and Why Journalists Use It Part I. Learning Computer-Assisted Reporting Skills Chapter 2. Online Resources: Researching and Finding Data on the Internet Chapter 3: Gathering and Analyzing Text and Social Media Chapter 4. Spreadsheets, Part 1: Basic Math for Journalists Chapter 5. Spreadsheets, Part 2: More Math that Matters Chapter 6. Database Managers, Part 1: Searching and Summarizing Chapter 7. Database Managers, Part 2: Matchmaking Part II. Using Computer-Assisted Reporting in News Stories Chapter 8. Getting Data Not on the Web: How to Find and Negotiate for Data Chapter 9. Building Your Own Database: How to Develop Exclusive Sources Chapter 10. Dirty Data: How to Fact Check Your Data and Clean It Chapter 11. Doing the Data Journalism and Computer-Assisted Reporting Story: How to Report and Write with Data Appendix A: A Short Introduction to Mapping Data Appendix B: A Short Introduction to Social Network Analysis

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