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arxiv logo>cs> arXiv:2408.07237
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Computer Science > Computation and Language

arXiv:2408.07237 (cs)
[Submitted on 13 Aug 2024 (v1), last revised 12 Mar 2025 (this version, v2)]

Title:Neural embedding of beliefs reveals the role of relative dissonance in human decision-making

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Abstract:Beliefs form the foundation of human cognition and decision-making, guiding our actions and social connections. A model encapsulating beliefs and their interrelationships is crucial for understanding their influence on our actions. However, research on belief interplay has often been limited to beliefs related to specific issues and relied heavily on surveys. We propose a method to study the nuanced interplay between thousands of beliefs by leveraging an online user debate data and mapping beliefs onto a neural embedding space constructed using a fine-tuned large language model (LLM). This belief space captures the interconnectedness and polarization of diverse beliefs across social issues. Our findings show that positions within this belief space predict new beliefs of individuals and estimate cognitive dissonance based on the distance between existing and new beliefs. This study demonstrates how LLMs, combined with collective online records of human beliefs, can offer insights into the fundamental principles that govern human decision-making.
Subjects:Computation and Language (cs.CL); Computers and Society (cs.CY); Physics and Society (physics.soc-ph)
Cite as:arXiv:2408.07237 [cs.CL]
 (orarXiv:2408.07237v2 [cs.CL] for this version)
 https://doi.org/10.48550/arXiv.2408.07237
arXiv-issued DOI via DataCite

Submission history

From: Byunghwee Lee [view email]
[v1] Tue, 13 Aug 2024 23:58:45 UTC (23,580 KB)
[v2] Wed, 12 Mar 2025 19:50:34 UTC (24,739 KB)
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