FairOGD

Today, a large part of our social interactions take place online. Consequently, the decision making of groups of individuals is more and more mediated by online tools of various forms. However, most group decisions online are made using simple, majoritarian decision mechanisms, which often lead to unfair outcomes which do not adequately represent the opinions of minorities. Fortunately, the field of computational social choice (COMSOC) can provide the tools for fair or proportional online group decision making.

Recent advances in our understanding of fairness and proportionality in approval-based multiwinner voting provide a novel tool-box for fair group decision making. However, this literature has so far focused on frameworks that do not capture crucial properties of online group decision making, including trichotomous preferences, incomplete preferences and susceptibility to low-effort manipulation. Addressing these shortcomings will be the main goal of this project.