The Afermath Of The Adpocalypse: Systemic Bias on YouTube Saleem Masadeh PLEX Lab Computer Science Department New Mexico State University Las Cruces, NM, USA saleem@nmsu.edu Bill Hamilton PLEX Lab Computer Science Department New Mexico State University Las Cruces, NM, USA bilhamil@nmsu.edu ABSTRACT Social media platforms are increasingly shaping political discourse by providing a platform for new generations of political commentators and serving as a primary means for the distribution of news. However, the business models of these platforms, largely driven by advertising, may be driving the introduction of bias both at systemic and personal cognitive levels. In this work, we briefly discuss how the YouTube Platform is potentially promoting bias through a combination of platform designs, policies, and recommendation algorithms. Finally, we discuss design ideas for augmenting the user experience of YouTube that may work to mitigate these biases. CCS CONCEPTS • Human-centered computing → Collaborative and social computing. KEYWORDS YouTube, adpocalypse, recommendation system, bias CHI ’20, April 25ś30, 2020, Honolulu, HI © 2020 Proceedings of the CHI 2020 Workshop on Detection and Design for Cognitive Biases in People and Computing Systems, April 25, 2020, Honolulu HI, USA. Copyright is held by the owner/author(s).