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Explore a novel approach to combating misinformation on social media platforms in this 18-minute conference talk from USENIX Enigma 2023. Delve into the concept of "prevalence-based gradation" (PBG), a process-level intervention designed to refine content moderation pipelines and improve the efficiency of tools and resources. Learn how this system utilizes prevalence as a key factor in hard moderation, enabling platforms to evaluate content through ex-ante measures and implement calibrated corrective actions based on information exposure levels. Gain insights into the challenges of current technological measures and predictive machine learning tools in detecting unlawful content, and understand how PBG can address issues of false positives and negatives in content moderation. Discover the potential impact of this innovative approach on high-stakes information related to elections, health, and other critical areas affecting individuals and communities in real life.