November 24 – 29 , 2019, Dagstuhl Perspectives Workshop 19482

Diversity, Fairness, and Data-Driven Personalization in (News) Recommender System


Abraham Bernstein (Universität Zürich, CH)
Claes De Vreese (University of Amsterdam, NL)
Natali Helberger (University of Amsterdam, NL)
Wolfgang Schulz (Universität Hamburg, DE)
Katharina A. Zweig (TU Kaiserslautern, DE)

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Dagstuhl Report, Volume 9, Issue 11 Dagstuhl Report
Aims & Scope
List of Participants


The Dagstuhl Perspectives Workshop 19482 on Diversity, Fairness, and Data-Driven Personalization in (News) Recommender Systems, took place from November 24 to November 29 at Schloss Dagstuhl in Germany. The goal of the workshop was to bring together researchers from the various disciplines relevant to news recommender systems (computer, communications, legal, and political science) to (1) develop a joint understanding of the issues arising for society with regards to the diversity and fairness of recommender systems, (2) identify the gaps in science, practice and regulation with regards to these topics, and (3) to compile a set of recommendations--in the form of a manifesto--that outlines needed steps from all actors involved to address the societal issues at hand.

Workshop Schedule

The workshop was organized in the following phases:

Welcome and introductions This first phase introduced the workshop goal to the participants and then offered each of them five minutes to introduce their research activities, expertise, their interest in the topic, and research directions they see as relevant to the workshop's topic.

Impulse presentations Given the diversity of the backgrounds of the participants, eight brief stage setting presentations where given. The goal of these was to establish a common ground in terms of relevant questions and common vocabulary.

Topical breakout group discussions Based on the introducing presentations and impulse presentations, the next phase of the workshop was organized around topical breakout groups. Topics discussed included relating fairness to diversity, user desiderata and characteristics, wider societal implications, governance, data requirements, and clustering of research gaps.

Writing sessions The next phase was focused on jointly drafting the manifesto that incorporated recommendations developed from discussions so far and compiling them into a coherent document.

The remainder of this text provides the abstracts of the impulse presentations. The insights resulting from our discussions can be found in the manifesto document, which will be published in due course.

Summary text license
  Creative Commons BY 3.0 Unported license
  Abraham Bernstein, Claes De Vreese, Natali Helberger, Wolfgang Schulz, and Katharina A. Zweig


  • Artificial Intelligence / Robotics
  • Data Bases / Information Retrieval
  • Society / Human-computer Interaction


  • Information filtering and recommender systems
  • Algorithmic bias and data quality
  • Balancing diversity and personalization
  • Fair and transparent machine learning systems
  • News personalization
  • Political content and polarization
  • Democratic theory


In the series Dagstuhl Reports each Dagstuhl Seminar and Dagstuhl Perspectives Workshop is documented. The seminar organizers, in cooperation with the collector, prepare a report that includes contributions from the participants' talks together with a summary of the seminar.


Download overview leaflet (PDF).

Dagstuhl's Impact

Please inform us when a publication was published as a result from your seminar. These publications are listed in the category Dagstuhl's Impact and are presented on a special shelf on the ground floor of the library.


Furthermore, a comprehensive peer-reviewed collection of research papers can be published in the series Dagstuhl Follow-Ups.