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About Computational Journalism at Columbia, Fall 2013: Lecture 1, Basics
This document provides an overview of a course on computational journalism taught at Columbia Journalism School. It defines computational journalism as applying computer science techniques to journalism tasks like story discovery, presentation, filtering and tracking the effects of stories. The course covers using techniques from fields like data science, natural language processing, social network analysis and more to tackle journalism problems. It will teach skills like information retrieval, text analysis, filtering systems and tracking information flow. Students will complete programming assignments and a final project applying these skills.
Detailed Information
| Author: | ['Jonathan Stray'] |
|---|---|
| Publication Year: | 2013 |
| Pages: | 56 |
| Language: | English |
| Format: | |
| Price: | FREE |
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