The report “Beyond the filter bubble: concepts, myths, evidence and issues for future debates” we wrote earlier this year for the Commissariaat voor de Media was shared with the Dutch parliament as part of the Kamerbrief over onderzoek naar de toekomst van onafhankelijke journalistiek in Nederland.
A blog about insights from the 2018 Amsterdam Symposium on News Personalisation was featured on the LSE Media Policy Project Blog.
News organisations all across Europe are facing the same challenge: how to make use of artificial intelligence in a way that saves costs and increases users’ experience, without compromising on quality or the provision of diverse and relevant news. In order to share knowledge about the optimal use of data and algorithmic news recommendations, M.Z. van Drunen (University of Amsterdam), N. Helberger (University of Amsterdam), B. Bodó (University of Amsterdam), J.K. Sørensen (Aalborg University), J.E. Möller (University of Amsterdam), M.B. Bastian (University of Amsterdam), together initiated the 2018 Amsterdam Symposium on News Personalisation, which brought together journalists, editors, technologists and academics to discuss the issue. Here, the authors report back from the symposium.
Judith will be speaking at the Struggle for peace event on April 7th in Utrecht. She will be part of the discussion on how to fix the future, and is quite curious herself how the future can be fixed – and whether it needs fixing. If you want to know, be sure to find out at 15:45.
Judith was invited to participate in the International Media Law, Policy & Practice (IMLPP) Conference 2018. It is a conference organized and mainly run by students. It was great to see how the next generation of legal scholars make sense of the complex questions of platform regulation.
In the debate about filter bubbles caused by algorithmic news recommendation, the conceptualization of the two core concepts in this debate, diversity and algorithms, has received little attention in social scientific research. This paper examines the effect of multiple recommender systems on different diversity dimensions. To this end, it maps different values that diversity can serve, and a respective set of criteria that characterizes a diverse information offer in this particular conception of diversity. We make use of a data set of simulated article recommendations based on actual content of one of the major Dutch broadsheet newspapers and its users (N=21,973 articles, N=500 users). We find that all of the recommendation logics under study proved to lead to a rather diverse set of recommendations that are on par with human editors and that basing recommendations on user histories can substantially increase topic diversity within a recommendation set.
Judith was invited to speak at an event organized by Bildung in Delft at the TU Delft as part of a workshop series on social bubbles. The workshops aim to study their origin, look at their impact and even try to get out of them. The event took place in the library of the TU and was aimed at engineering students.
This week Joanna and Judith are participating in the Computational Communication Science – Towards a Strategic Roadmap Conference in Hannover Germany. The event aims to develop knowledge, skills, resources, and strategies in computational methods within the field of communication. The event takes place in the former Expo area in Hannover, characterized by futuristic architecture.
On March 4th Judith will participate in the Historisch Debat organized by the Royal Limburgian History and Ancient History Association to discuss information bubbles and echo chambers as a historical phenomenon. The focus of Judith presentation will be the current debate, the historical perspective will be represented by Angelique Janssens, professor of historical demographiccs at the University of Maastricht.
We were delighted to hear that JEDS/NWO decided to accept our grant proposal for studying personalised online news consumption! In the coming years, our team from the VU, UvA, CWI, and e-Science Center will automatically measure and analyse personalised online news consumption to find out whether online filter bubbles really exist and what effect they have on political knowledge and attitudes.
More information here