Papers with response forecasting

1 papers
Decoding the Silent Majority: Inducing Belief Augmented Social Graph with Large Language Model for Response Forecasting (2023.emnlp-main)

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Challenge: Existing approaches to forecast news media responses have limited exploration of how to best process and utilize these important features.
Approach: They propose a framework that leverages a large language model to induce a belief-centered graph on top of an existent social network, along with graph-based propagation to capture social dynamics.
Outcome: The proposed framework surpasses state-of-the-art in experimental evaluations for both zero-shot and supervised settings, demonstrating its effectiveness in response forecasting.

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