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.

Slides from Talk on Digital Methods for Journalism at Columbia University

Last month Jonathan Gray and I gave a talk at Columbia University entitled ‘Mapping Issues with the Web: An Introduction to Digital Methods’. We talked about how Bruno Latour’s work on Actor-Network Theory has informed social and cultural research that uses online data and digital methods, with examples from the work of the Digital Methods Initiative at the University of Amsterdam and of the MediaLab at Sciences Po.

We were very pleased to have Professor Bruno Latour act as a respondent to our talk and join us for the discussion.

We will be building on this work in the coming months as part of our fellowship with the Tow Center for Digital Journalism at Columbia University and exploring how these methods, tools and techniques can be made useful to journalists.

Below are the slides from this talk and here is an article on the Tow Center blog that summarises it.

Talk at Columbia University in New York on Issue Mapping for Journalism

Next week I will be giving a talk at Columbia University in New York together with Jonathan Gray, lead editor of the Data Journalism Handbook. This talk will bring together for the first time two activities that I have been doing in parallel for the past couple of years, namely the work with journalists to develop data literacy at the European Journalism Centre, and the digital methods research work done at the University of Amsterdam.

The talk is hosted by the Tow Center for Digital Journalism and takes place on the occasion of Bruno Latour‘s visit at Columbia University.

Below is the abstract for the talk:

Mapping Issues with the Web: An Introduction to Digital Methods

How can digital traces be used to understand issues and map controversies? On the occasion of Bruno Latour’s visit to Columbia University, this presentation will show participants how to operationalize his seminal Actor-Network Theory using digital data and methods in the service of social and cultural research.

Participants will be introduced to some of the digital methods and tools developed at the University of Amsterdam and Sciences Po over the past decade and how they have been used to generate insights around a wide variety of topics, from human rights to extremism, global health to climate change.

Please RSVP via Eventbrite.

What Data Journalists Can Learn From New Media Research

Earlier this month I wrote an article for the London School of Economics Impact of Social Sciences blog about how journalists can use the web and social media as a source of data about the state of issues, debates and information flows in different societies. 

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You can read the full post here.

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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Sourcing Practices in Data Journalism – Slides from My Talk at Stanford

Earlier this year I gave a talk on data journalism at a conference at Stanford University that focused on the right to information and transparency in the digital age. The talk focused on sourcing practices in data journalism and was based on a research project that I am currently working on. The project examines sourcing practices and knowledge production at the Guardian, the New York Times and ProPublica, based on interviews with journalists and analysis of data journalism projects.

Below are the slides from my talk.

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Amazon as a Research Engine: Best Selling Issues in the Climate Change Debate

My colleagues at the Digital Methods Initiative (Erik Borra, Natalia Sanchez-Querubin and Sophie Waterloo) and I just submitted an abstract for a social media theory and methods conference featuring great names in this space: Jean Burgess (Queensland University of Technology), Axel Bruns (Queensland University of Technology), Greg Elmer (Ryerson University) and Ganaele Langlois (U. of Ontario Institute of Technology).

The paper is called “Amazon as a Research Engine: Best Selling Issues in the Climate Change Debate” and proposes a protocol for repuposing Amazon.com as tool for debate mapping. Below is our abstract:

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Top 10 Most Tweeted Links from NICAR 2013

The annual US National Institute for Computer Assisted Reporting (NICAR) conference brings together hundreds of some of the most experienced data journalists, mainly US-based, and is packed with sessions where you can learn about the latest developments, tools and techniques in the field. Since I didn’t make it to NICAR last week, I followed the most used conference hashtag, #NICAR13, to stay on top of the discussions. The abundance of sessions and presentations at NICAR makes it impossible for anyone to absorb everything that is being discussed, so here is a list of the most tweeted links from the conference, which might be useful to come back to. (Unfortunately I missed capturing tweets from the first day of the conference.)

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Seeing the Web through the ages – three stages of Internet research

This morning I attended the first lecture of the Digital Methods for Internet Research course at the University of Amsterdam. Richard Rogers, chair and professor in the university’s New Media & Digital Culture programme, introduced three stages of seeing the Web or of doing Internet research that we have witnessed so far.

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