For the last several months I’ve been working on a whitepaper for the CUNY Tow-Knight Center for Entrepreneurial Journalism. It’s about cultivating more technical innovation in journalism and involves systematically mapping out what’s been done (in terms of research) as well as outlining a method for people to generate new ideas in computational journalism. I’m happy to say that the paper was published by the Tow-Knight Center today. You can get Jeff Jarvis’ take on it on the Tow-Knight blog, or for more coverage you can see the Nieman Lab write-up. Or go straight for the paper itself.
About
Nick Diakopoulos is a consultant specializing in research, design, and development for computational media applications. Areas of expertise include social computing, data visualization, games, and news. Find me on Twitter: @ndiakopoulosRecent Posts
- Storytelling with Data: What Are the Impacts on the Audience?
- How does newspaper circulation relate to Twitter following?
- Neolithic Journalists? Influence Engines? Narrative Analytics? Some Thoughts on C+J
- Aha! Brainstorming App
- Understanding bias in computational news media
- Mobile Gaming Summit 2012
- Comment Readers Want Relevance!
- Many Faces Photo Collages
- Review: The Functional Art
- Does Local Journalism Need to Be Locally Sustainable?
- User Expectations, Prototypes, and Professionals
- Systems Papers at CHI – Some Data
- Fact-Checking at Scale
- The Future of Automated Story Production
- Visualization Performance in the Browser
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