AI content moderation takes a lesson from economics #ASA190
Reports and Proceedings
Updates every hour. Last Updated: 24-Oct-2026 01:16 ET (24-Oct-2026 05:16 GMT/UTC)
Large language models may be able to make moderation of social media and online communities more effective, but they are expensive to run at scale, especially when asked to provide explanations for each piece of content they flag. Yuan Zhao will present research on creating an interpretable and low-cost method for evaluating LLMs’ hate speech classification as part of 190th ASA Meeting. His framework relies on the Rational Inattention model, an economic idea developed to explain human behavior.
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In a new report, Brookings experts examine how a more integrated European energy system could strengthen energy security, while also furthering sustainability and affordability.