Slides from Talk on Actor-Network Theory, Digital Methods and Data Journalism at Ghent University

Yesterday I gave a talk at the Center for Journalism Studies at Ghent University about how Actor-Network Theory (ANT) and digital methods can be used to study and inform data journalism.

I will be using these approaches to study data journalism in my joint PhD with the University of Groningen and the University of Ghent. I will also be exploring the opportunities that these techniques afford for informing data journalism practices in my fellowship at the Tow Center for Digital Journalism at Columbia University. The Tow project is called ‘Controversy Mapping for Journalism’ and aims to convene pioneering Science and Technology Studies and digital methods researchers at Sciences Po and the University of Amsterdam with leading journalism scholars, information designers and computer scientists at Columbia University to explore how emerging digital traces, tools and methods can be utilised to transform the coverage of complex issues.

Below are the slides from this talk.

List of Academic Papers about Data Journalism and Computational Journalism

In parallel to my work at the European Journalism Centre, for the past couple of years I have been working on and off on a research project that examines sourcing and knowledge production practices in data journalism and how these might be challenging traditional journalism epistemologies. I gave a talk at Stanford University last year about the first part of this study. Thanks to a four-year PhD grant from the University of Groningen and the University of Ghent, I will be able to dedicate more time to this project in the next few years, expand and improve it.

Below is a list of academic papers about data journalism and computational journalism that I collected during my work so far. A few of them, such as Schudson (2010) and Peters (2010) do not directly reference the practice of data journalism but discuss related and relevant developments.

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