Research articles on GOVERNANCE

Algorithmic bias and the Value Sensitive Design approach

Judith Simon, Universität Hamburg
Pak-Hang Wong, Universität Hamburg
Gernot Rieder, Universität Hamburg
PUBLISHED ON: 18 Dec 2020 DOI: 10.14763/2020.4.1534

This article provides an overview of the Value Sensitive Design (VSD) methodology and explores how it can enrich the current debates on algorithmic bias and fairness in machine learning.

Digital commons

Mélanie Dulong de Rosnay, French National Centre for Scientific Research (CNRS)
Felix Stalder, Zurich University of the Arts
PUBLISHED ON: 17 Dec 2020 DOI: 10.14763/2020.4.1530

Digital commons, understood as shared information, culture and knowledge resources created and maintained online, are a crucial concept to think about the development of the digital sphere beyond surveillance capitalism and steer it toward a more socially inclusive and sustainable economy and a renewal of democracy.

Combating misinformation online: re-imagining social media for policy-making

Eleni A. Kyza, Cyprus University of Technology
Christiana Varda, Cyprus University of Technology
Dionysis Panos, Cyprus University of Technology
Melina Karageorgiou, Cyprus University of Technology
Nadejda Komendantova, International Institute for Applied Systems Analysis
Serena Coppolino Perfumi, Stockholm University
Syed Iftikhar Husain Shah, International Hellenic University
Akram Sadat Hosseini, University of Stuttgart
PUBLISHED ON: 21 Oct 2020 DOI: 10.14763/2020.4.1514

What more can social media platforms do to combat misinformation? Recommendations from policymakers suggest reconceptualising social media policies as a necessary step.

From trust in the system to trust in the content Trust in the system

Péter Mezei, University of Szeged
Andreea Verteș-Olteanu, West University of Timișoara
PUBLISHED ON: 21 Oct 2020 DOI: 10.14763/2020.4.1511

The editorial of the third special issue of Internet Policy Review in cooperation with the Association of Internet Researchers (AoIR) is dedicated to the concept of trust. We explore the macro- and micro-levels of trust in the system and trust in the content, and also introduce the six papers selected for this special issue.