Pollster introduces a new approach for measuring the effects of media consumption, and for predicting media-driven public opinion. Our approach leverages advances in deep neural network -based language modeling to model populations with specific media diets. We validate our approach using ground-truth surveys in two domains: attitudes towards COVID-19, and consumer confidence. This approach could be used to supplement existing surveys, help public health officials and others improve their messaging, and ultimately inform policy makers.

Program: Research Lab
Phase: 2020 - Present
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