4 Data journalism

  • Anderson, C (2013) Towards a sociology of computational and algorithmic journalism, New Media & Society, 15, 7, pp. 1005-1021.

The article approaches computational journalism from a sociological perspectice. By “computational journalism” the article refers to the ubiquitous forms of algorithmic, social scientific, and mathematical forms of newswork adopted by many 21st-century newsrooms and touted by many educational institutions as “the future of news.”


  • Boyd, d, & Crawford, K (2012) CRITICAL QUESTIONS FOR BIG DATA, Information, Communication & Society, 15, 5, pp. 662-679.

The article discusses Big Data as a cultural, technological and scholarly phenomenon. It asks for example if a large-scale search data helps us to create better tools, services, and public goods or if data analytics will help us to understand online communities and political movements.


  • Data Driven Journalism website

A community of journalists, editors, designers and developers who use data in the service of journalism. The website includes many resources for doing data journalism e.g. effective searching, visualization, tips for working with numbers etc.


  • Flew, T, Spurgeon, C, Daniel, A, & Swift, A (2012) THE PROMISE OF COMPUTATIONAL JOURNALISM, Journalism Practice, 6, 2, pp. 157-171.

The article discusses how new technologies may enhance the traditional aims of journalism. The authors claim that computational journalism provides an opportunity to enhance the production of original investigative journalism, and to attract citizen journalism.


  • Gray, Jonathan & Bounegru, Liliana & Chambers, Lucy (eds.) (2011) The Data Journalism Handbook. London: O’Reilly. Free web version available in English, French, Russian, Spanish and Georgian:

The book has been created by using the method of crowdsourcing. It promises to supply the reader with a comprehensive repertoire of all if the knowledge and skills one needs to become a data journalist.


  •  Hewett, Jonathan (2015) Learning to teach data journalism: Innovation, influence and constraints. Journalism, Published online before print November 17, 2015, doi: 1177/1464884915612681.

The article discusses digital journalism and especially data journalism from an educational point of view. The author points out the complexities linked to the particular demands of data journalism, and identifies critical issues around student satisfaction; reputation and job/career outcomes; relevance, currency and appeal; programme management; and coherence.


  • Lewis, S, & Usher, N (2013) Open source and journalism: toward new frameworks for imagining news innovation, Media, Culture & Society, 35, 5, pp. 602-619.

The article evaluates the phenomenon of open source in journalism. It offers a theoretical intervention for understanding open source information and its potential implications for newswork.


A handbook written by the Open Knowledge Foundation. The guide discusses the legal, social and technical aspects of open data. It can be used by anyone but is especially designed for those seeking to open up data. It discusses why to go open, what open is, and the how to ‘open’ data.


A British newspaper the Guardian provides a 10 point guide to data journalism. A useful article with questions and answers to understand the very basics of data journalism.


 A British newspaper the Guardian introduces some free data visualization tools available on the internet.


Tow Center is a research and development center for the profession of digital journalism. It is operating as an institute within Columbia University’s Graduate School of Journalism in New York. The blog includes posts about data journalism, investigative journalism, CAR, open data etc.

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