133 citations · 223 across the 10 of their papers we have counts for
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cs.CY2023
Filter bubbles and affective polarization in user-personalized large language model outputs
Tomo Lazovich
Echoing the history of search engines and social media content rankings, the advent of large language models (LLMs) has led to a push for increased personalization of model outputs…
cs.CY2022★ 37 cited
Measuring Disparate Outcomes of Content Recommendation Algorithms with Distributional Inequality Metrics
Tomo Lazovich, Luca Belli, Aaron Gonzales +5
The harmful impacts of algorithmic decision systems have recently come into focus, with many examples of systems such as machine learning (ML) models amplifying existing societal b…