CESTA Seminar Series with James T. Hamilton

Tuesday, January 22, 2019

12:00 pm

Wallenberg Hall, Fourth Floor Map

Sponsored by:
Center for Spatial and Textual Analysis (CESTA)

What is Computational Journalism? What Could it Be?

Abstract: Investigative journalism is underprovided in the market, but new combinations of data and algorithms may make it easier for journalists to discover and tell the stories that hold institutions accountable. Computational journalism is a rapidly evolving field that describes stories told by, through, and about algorithms. This talk will provide an overview of how computational journalism is growing as a reporting practice and as a research field. Particular attention will be devoted to examples of work at Stanford, and the prospects for future interdisciplinary projects and partnerships that may support the production of high-quality public affairs reporting. Ideas discussed will build on research from Democracy’s Detectives: The Economics of Investigative Journalism.

About the speaker:Investigative journalism is underprovided in the market, but new combinations of data and algorithms may make it easier for journalists to discover and tell the stories that hold institutions accountable. Computational journalism is a rapidly evolving field that describes stories told by, through, and about algorithms. This talk will provide an overview of how computational journalism is growing as a reporting practice and as a research field. Particular attention will be devoted to examples of work at Stanford, and the prospects for future interdisciplinary projects and partnerships that may support the production of high-quality public affairs reporting. Ideas discussed will build on research from Democracy’s Detectives: The Economics of Investigative Journalism.

When:
Tuesday, January 22, 2019
12:00 pm – 1:00 pm
Where:
Wallenberg Hall, Fourth Floor Map
Tags:

Arts Webcast Engineering Humanities Seminar 

Audience:
Faculty/Staff, Students, Alumni/Friends, Members
Contact:
650-721-1385, cesta_stanford@stanford.edu