Yesterday was the vitual launch of the wonderfully edited (eds. Martin Engebretsen & Helen Kennedy) volume of Data Visualization in Society. Together with Daniela van Geenen I contributed a chapter about approaching data visualizations as interfaces to data in various ways to the volume. So happy to see this in print (and open access). It’s been a wonderful ride.
The last four days I spent in Barcelona, attending the ACM conference on Fairness, Accountability, and Transparency. What a ride it has been! It was my first time at FAT*/FAccT and it has been absolutely amazing and inspiring. When I started my PhD it was my goal to get accepted to the FAT* (now ‘FAccT’) conference with my work. Not only did I get accepted, I was also awarded wih the best student paper award. It still feels a bit surreal, but I am so happy, honored, and thankful to have been given this opportunity and to see that my work resonates with this wonderful community.
You can find my paper here: https://dl.acm.org/doi/abs/10.1145/3351095.3372833
The presentation will be uploaded to YouTube in the coming days, and you should be able to find it here: https://www.youtube.com/channel/UCs16j6ot-CYq-ZqYpO-vqMg
Together with Iris Muis, Gerwin van Schie and Tim de Winkel we wrote the article ‘”Liberation begins with stating the facts”: rationalization of discrimination through data in populist rhetoric on Twitter’. It considers Geert Wilders’ use of numbers and statistics about immigrants on Twitter. The article is open access and can be found here: http://doi.org/10.16995/olh.320
Geert Wilders is internationally the most iconic politician of the Netherlands and one of the most mediagenic flag bearers of Europe’s new right. This paper presents an analysis of a fundamental aspect of Wilders’ claims, namely their apparently factual basis, by employing framing theory and contentious politics theory, and taking a mixed method approach of quantitative data analysis and qualitative critical reading of Wilders’ Twitter timeline. Our main research question is: How did Geert Wilders frame his political claims, specifically about race and ethnicity, through statistics, numbers, and ‘facts’ on Twitter in the three months leading up to the Dutch elections on 15 March 2017? Our aim is to take Geert Wilders as a case study to closely examine how politicians can frame a particular topic to suit their own purposes, and manifests itself when politicians move to the new media sphere where their views seem to be less frequently challenged and their statements less verified by the media. We will conceptualize Wilders’ Twitter practice as ‘information bricolage’ which is a consequence of the new media reality where, on his own Twitter feed, a politician appears to be the editor of his own news. We show how the Partij voor de Vrijheid (PVV) campaign is almost in its entirety Wilders’ media performance, and how this is, both online and offline, largely devoid of conversation but consists of one-way broadcasting instead. In addition, Wilders shows a paradoxical attitude towards statistics. On the one hand, he challenges the objectivity of numbers or the institutes that produce them, while at the times he uses these ‘facts’ to validate his statements. By way of these practices, Geert Wilders rationalizes and legitimizes discriminating claims about Dutch immigrant populations.
The past few days, I’ve been attending the Digital Tools & Uses Conference in Paris, where I was part of the Web Studies track. I’ve presented the Tool Criticism paper I’ve written together with Karin van Es and Mirko Tobias Schäfer. Our paper is published in the ACM proceedings, and can be found here. It’s been a great opportunity to talk about our ideas with other scholars/scientists!
Our new article ‘Political topic-communities and their framing practices in the Dutch Twittersphere’ is now published in Internet Policy Review! I had the pleasure to work together with Daniela van Geenen, Mirko Tobias Schäfer and Ludo Gorzeman on this one. The paper came forth out of commissioned research for Vrij Nederland and Nieuwsuur. In the paper we discuss how politically interested topic communities engage with news (media).
In light of the need for political plurality and informed debate this study questions information distribution and curation on Twitter. We contribute to the understanding of ideological homophily by exploring the notion of the ‘echo chamber’. Using a sample of two weeks of Dutch Twitter data, we combine network analysis of retweet networks, with qualitative reading and categorisation of engagement with media content in tweets within political topic communities. We found that media references were predominantly framed in affirmative ways in relation to the referenced medium content. Our findings show that users consciously select media messages that correspond with the general sentiment within their topic community, or frame them accordingly. We see this as a willful ‘echo chamber’, or a ‘repillarisation’.