Replicating Human Motivated Reasoning Studies with LLMs

Neeley Pate, Adiba Mahbub Proma, Hangfeng He, James N. Druckman, Daniel Molden +2 more
1/22/2026
cs.HCcs.AI

No confident code implementation found for this paper. 1 possible match can be shown below.

Abstract

Motivated reasoning -- the idea that individuals processing information may be motivated to reach a certain conclusion, whether it be accurate or predetermined -- has been well-explored as a human phenomenon. However, it is unclear whether base LLMs mimic these motivational changes. Replicating 4 prior political motivated reasoning studies, we find that base LLM behavior does not align with expected human behavior. Furthermore, base LLM behavior across models shares some similarities, such as smaller standard deviations and inaccurate argument strength assessments. We emphasize the importance of these findings for researchers using LLMs to automate tasks such as survey data collection and argument assessment.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. 1 weaker match is hidden by default — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Cite this paper

@article{pate2026replicating,
  title  = {Replicating Human Motivated Reasoning Studies with LLMs},
  author = {Neeley Pate and Adiba Mahbub Proma and Hangfeng He and James N. Druckman and Daniel Molden and Gourab Ghoshal and Ehsan Hoque},
  year   = {2026},
  eprint = {2601.16130},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2601.16130v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2601.16130.svg)](https://codeofpaper.com/paper/2601.16130)

Discussion