Supporting User Information Processing Through Large Language Models Within the Political Sphere

How do we support information within the political domain?By incorporating personalization and guardrails, large language model (LLM) systems can be leveraged to support navigation through the information ecosystem.In this work, I outline a proposal for designing LLM systems within two areas: mitigating misinformation belief and bolstering information processing.These tools aim to draw from theories within persuasion, information processing, and motivated reasoning to ultimately speak to the end user and nudge them to pursue accuracy when presented with information.These interventions will not only extend research within these relevant domains, but also support an individual's ability to interpret information provided.

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Publication Details

Published
2025-06-13
DOI
https://doi.org/10.1145/3699682.3727567
Primary Topic
Social Media and Politics
Type
article
Field-Weighted Citation Impact
0.00

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article

Supporting User Information Processing Through Large Language Models Within the Political Sphere

Neeley Pate
Social Media and Politics
article

Supporting User Information Processing Through Large Language Models Within the Political Sphere

Neeley Pate
article en

Abstract

How do we support information within the political domain?By incorporating personalization and guardrails, large language model (LLM) systems can be leveraged to support navigation through the information ecosystem.In this work, I outline a proposal for designing LLM systems within two areas: mitigating misinformation belief and bolstering information processing.These tools aim to draw from theories within persuasion, information processing, and motivated reasoning to ultimately speak to the end user and nudge them to pursue accuracy when presented with information.These interventions will not only extend research within these relevant domains, but also support an individual's ability to interpret information provided.

University of Rochester (US)
Graduate Fellowships for Science, Technology, Engineering, and Mathematics Diversity
Openalex Percentile: Top 85%
Social Media and Politics
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