57 citations · 165 across the 17 of their papers we have counts for
4 papers · 1 filter
Algorithmic Audit of Personalisation Drift in Polarising Topics on TikTok
Branislav Pecher, Adrian Bindas, Jan Jakubcik +8
Social media platforms have become an integral part of everyday life, serving as a primary source of news and information for many users. These platforms increasingly rely on perso…
Revisiting Algorithmic Audits of TikTok: Poor Reproducibility and Short-term Validity of Findings
Matej Mosnar, Adam Skurla, Branislav Pecher +5
Social media platforms are constantly shifting towards algorithmically curated content based on implicit or explicit user feedback. Regulators, as well as researchers, are calling…
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…
An Audit of Misinformation Filter Bubbles on YouTube: Bubble Bursting and Recent Behavior Changes
Matus Tomlein, Branislav Pecher, Jakub Simko +7
The negative effects of misinformation filter bubbles in adaptive systems have been known to researchers for some time. Several studies investigated, most prominently on YouTube, h…