CFP: Nordic Data Journalism Conference (NODA18), academic pre-conference, March 15, 2018 in Stockholm, Sweden
“The second wave of data journalism research”
Deadline for abstract submissions: 1 December 2017
On March 15-17, 2018, the fourth annual Nordic data journalism conference, NODA18, will be hosted by Södertörn University, in Stockholm, Sweden. The conference, founded by Södertörn University in 2013 together with seven Swedish media companies, combines professional, practical, and scientific aspects to bring together media professionals and media researchers working with data journalism and/or digital journalism.
NODA 2018 features an academic track on Thursday, March 15, during which scholars are invited to present their work on data journalism.Participation in the academic track also includes admission to the rest of the conference program.
There will be two key-note sessions at this event: Jonathan Albright, Research Director at the Tow Center for Digital Journalism, on facing the data: post-truth digital journalism and Eddy Borges-Rey, University of Stirling, and Florian Stalph, University of Passau, on assessing the eco system around data-driven reporting.
The rise of post-factual politics has made journalistic analysis and presentation of large datasets more relevant than ever. Technological innovations, such as automation and bots, have led to the spread and diversification of data journalism, which is increasingly applied beyond elite news organizations. While projects like the Panama Papers have been described as data journalism at its best, data journalism has also come under criticism as opinion polls failed to predict the success of Trump and Brexit. The move to more interactive forms of data visualization have resonated with an increasingly active audience, and the inclusion of a chapter on Data Journalism in the 2017 edition of the AP style book can be seen as a final sign that it has now become a mature field of journalism.
As data journalism continues to develop, we are also seeing a new wave of data journalism research that is different than what has been labelled the first wave of data journalism research (e.g. Aussenhoffer, 2017). The pioneering first wave was dominated by national and institutional case studies that focused in particular on knowledge production in newsrooms, often of the elite media. While these studies have clarified how data journalism is to be understood in different contexts, reviews of the literature have pointed out that the majority of them are descriptive in nature (Borges-Rey, 2017). These studies also often take a future-oriented approach and focus on best-practice examples and the potential and novelty of data journalism, rather than setting data journalism in its historical context (Anderson, 2012). In addition, few studies in this first wave of data journalism research have taken a comparative perspective or studied data journalism beyond the Western world.
As we enter into the second wave of data journalism research, NODA18 welcomes submissions addressing theoretical or methodological issues particularly in the area of digital journalism that is referred to as data journalism. Because data journalism practices involve a convergence of disciplines, we also encourage cross-disciplinal studies, where journalism studies theory and methodology are influenced by research fields such as media technology, data science, interaction design, organizations, business and administration or political science.
Södertörn University also encourages research linked to the Baltic Sea region and Eastern Europe, and we would therefore be very happy to see studies addressing data journalism from this particular region, as well as studies with a comparative international perspective from other countries.
NODA18 invites papers that address theoretical or methodological issues in relation to:
– the impact of computational logics and paradigms in data journalism practices,
– the history and development of data journalism from a comparative perspective,
– data journalism beyond the Western world,
– the impact of artificial intelligence, intelligence augmentation and automation of data journalism labor,
– the sustainability of data journalism beyond legacy organizations, such as hyperlocal data journalism,
– the role of non-legacy organizations, such as Facebook and Google, in shaping data journalism through support systems,
– data issues: fact checking and verification practices in data journalism and the reporting of uncertainty,
– open data, freedom of information legislation and data journalism,
– visualization and interaction design,
– audience engagement, interaction and consumption of data journalism content, and
– business models and policies for data journalism.
Abstracts for papers (500 words maximum, in a Scandinavian language or English) can be submitted until December 1, 2017, to firstname.lastname@example.org.
PhD students are also welcome to contribute poster submissions to a PhD student’s poster session.
Acceptance notifications will be sent out mid-December 2017.
Ester Appelgren, Södertörn University, Sweden, Carl-Gustav Lindén, Helsinki University, Finland, Arjen van Dalen, University of Southern Denmark, Denmark