Work

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

Year: 2025

Type: conference-paper

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.

Source: ACM Conference on User Modeling, Adaptation and Personalization (UMAP)

DOI: 10.1145/3699682.3727567

Author: Neeley Pate

Institution: University of Rochester

Language: English

Topic: Misinformation and Its Impacts

Subfield: Sociology and Political Science

Field: Social Sciences

Domain: Social Sciences

Open Access status: bronze

Funder: Graduate Fellowships for Science, Technology, Engineering, and Mathematics Diversity

OpenAlex ID: W4411279439

FWCI:

Cites: 23

Cited by:

Related to: 10