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SUMMARY:Department Speaker Series: Swabha Swayamdipta (USC\, Computer Science)
DESCRIPTION:Title: Understanding Online Discourse through Social Context and Structured Pragmatics \nAbstract: In an increasingly online world\, understanding discourse on social media is akin to understanding our society. However\, when it comes to social media discourse\, a disproportionate amount of focus has been laid on content moderation via hate speech detection. In this talk\, I will address a key limitation of this application: existing hate speech detection systems are riddled with racial biases introduced during annotation\, which are reinforced and propagated by models trained on such data. I will present the inadequacies of current methods for debiasing hate speech detection and show how the subjectivity of this task design leads to debiasing failures. Next\, I will focus on uncovering the origin of bias in toxic language detection. I will demonstrate how annotators’ demographics and beliefs influence their toxicity ratings\, and how ignoring such societal context can lead to biased outcomes. Finally\, I will present some ongoing work on understanding online discourse on homelessness\, which presents some unique challenges. Overall\, I will argue for the value of rethinking traditional the hate speech classification task\, and the need for richer context and nuance when considering online discourse.
URL:https://comm.ucla.edu/event/swabha-swayamdipta-usc-computer-science/
LOCATION:Comm Conference Room – Rolfe 2303
CATEGORIES:Department Speaker Series
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