Replicating Human Motivated Reasoning Studies with LLMs
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arXiv
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| Main Authors: | , , , , , , |
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| Format: | Preprint |
| Published: |
2026
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| _version_ | 1866911658493870080 |
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| author | Pate, Neeley Proma, Adiba Mahbub He, Hangfeng Druckman, James N. Molden, Daniel C. Ghoshal, Gourab Hoque, Ehsan |
| author_facet | Pate, Neeley Proma, Adiba Mahbub He, Hangfeng Druckman, James N. Molden, Daniel C. Ghoshal, Gourab Hoque, Ehsan |
| contents | Motivated reasoning - the idea that individuals processing information may be motivated to either arrive at accurate beliefs or arrive at desired conclusions - has been well-explored as a human phenomenon. However, it remains unclear whether base LLMs are affected by motivational manipulations. 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 when selecting to abstain from question answering and incorporating provided arguments into opinions. The results suggest that base LLMs may not emulate human motivated reasoning processes. We emphasize the importance of these findings for researchers using LLMs to for certain tasks such as opinion replication and argument assessment. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2601_16130 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Replicating Human Motivated Reasoning Studies with LLMs Pate, Neeley Proma, Adiba Mahbub He, Hangfeng Druckman, James N. Molden, Daniel C. Ghoshal, Gourab Hoque, Ehsan Human-Computer Interaction Artificial Intelligence Motivated reasoning - the idea that individuals processing information may be motivated to either arrive at accurate beliefs or arrive at desired conclusions - has been well-explored as a human phenomenon. However, it remains unclear whether base LLMs are affected by motivational manipulations. 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 when selecting to abstain from question answering and incorporating provided arguments into opinions. The results suggest that base LLMs may not emulate human motivated reasoning processes. We emphasize the importance of these findings for researchers using LLMs to for certain tasks such as opinion replication and argument assessment. |
| title | Replicating Human Motivated Reasoning Studies with LLMs |
| topic | Human-Computer Interaction Artificial Intelligence |
| url | https://arxiv.org/abs/2601.16130 |