Computational Journalism

Author:

Ziegler Lady Dhyana1

Affiliation:

1. Florida A&M University, USA

Abstract

In this chapter, the use and application of big data in the news gathering process is discussed. The author explains how the combination of journalism, computer science, and social research introduces a new paradigm to the news industry and academic programs. The chapter explains how the impact of computational journalism on the news product and the use of big data analytics are applied to assess trends and habits of human interaction in all aspects of news coverage. The author purports that big data is essential to the news industry to make predictions and/or draw conclusions to produce a better news package. The author stresses the point that shaping news in a big data world challenges the foundation of journalistic principles and practices but the credibility and integrity of the news product must be maintained. The chapter introduces the Z Wheel communication process model as a new tool for shaping news in this big data environment.

Publisher

IGI Global

Reference20 articles.

1. Towards a sociology of computational and algorithmic journalism.;C. W.Anderson;New Media & Society,2013

2. Bell, E. (2012, September 5). Journalism by numbers. Columbia Journalism Review. Retrieved from http://www.cjr.org/cover_story/journalism_by_numbers.php?page=all

3. Computational journalism

4. Cohen, S., & Yang, L. J. & Yu, C. (2011). Computational journalism: A call to arms database researchers. In CIDR’ 11 (pp. 148-151). Asilomar, CA. Retrieved from http://db.cs.duke.edu/papers/cidr11-CohenLiEtAl-cjdb.pdf

5. Daniel, A. (2010, November). The Guardian reportage of the UK MP expenses scandal: A case study of computational journalism. Paper presented at a meeting of the Communications Policy & Research Forum. Sydney, Australia.

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