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Evaluating Large Language Models for Belief Inference: Mapping Belief Networks at Scale

2025-10-24

Abstract excerpt

<p>Beliefs are interconnected, influencing how people process and update what they think. To study the interconnectedness of beliefs at scale, we introduce a novel analytical pipeline leveraging a finetuned GPT-4o model to infer belief structures from large-scale social media data. We evaluate the model's performance by (1) comparing it to human annotated data (2) and its inferences to human-generated survey data....

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Literature Corpus work
6c3930ba-7cdb-531c-be41-6dfcb4e2914c
DOI
10.31234/osf.io/dht9j_v1
Open publication

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Evaluating Large Language Models for Belief Inference: Mapping Belief Networks at ScaleDOI 10.31234/osf.io/dht9j_v1
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