57 citations · 57 across the 1 of their papers we have counts for
2 papers
cs.IR2026
Towards Trustworthy Multi-stakeholder Recommender Systems
Katarina Marcincinova, Adrian Gavornik, Matus Mesarcik +1
Recommender system (RS) nowadays has to reflect, combine, and solve often contrasting requirements and expectations from dozens of stakeholders. In fact, the problem is even more c…
cs.IR2022★ 57 cited
Auditing YouTube's Recommendation Algorithm for Misinformation Filter Bubbles
Ivan Srba, Robert Moro, Matus Tomlein +8
In this paper, we present results of an auditing study performed over YouTube aimed at investigating how fast a user can get into a misinformation filter bubble, but also what it t…