Computational journalism
Encyclopedia
Computational journalism can be defined as the application of computation to the activities of journalism such as information gathering, organization, sensemaking, communication and dissemination of news information, while upholding values of journalism such as accuracy and verifiability. The field draws on technical aspects of computer science including artificial intelligence, content analysis (NLP, vision, audition), visualization, personalization and recommender systems as well as aspects of social computing and information science.

History of the Field

The field emerged at the Georgia Institute of Technology
Georgia Institute of Technology
The Georgia Institute of Technology is a public research university in Atlanta, Georgia, in the United States...

 in 2006 where a course in the subject was taught in 2007 and 2008. In February of 2008 Georgia Tech hosted a Symposium on Computation and Journalism which convened several hundred computing researchers and journalists in Atlanta, GA. In July of 2009, The Center for Advanced Study in the Behavioral Sciences (CASBS) at Stanford University hosted a workshop to push the field forward.

Related fields

  • Database journalism
    Database journalism
    Database journalism or structured journalism is a principle in information management whereby news content is organized around structured pieces of data, as opposed to news stories....

  • Computer-assisted reporting
    Computer-assisted reporting
    Computer-assisted reporting describes the use of computers to gather and analyze the data necessary to write news stories.The spread of computers, software and the Internet changed how reporters work...

  • Data-driven journalism (extending the focus of data investigation to a workflow from data analysis to data visualization to storytelling based on the findings)

Resources

The source of this article is wikipedia, the free encyclopedia.  The text of this article is licensed under the GFDL.
 
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