Do language models favor their home countries? Asymmetric propagation of positive misinformation and foreign influence audits

As language models (LMs) continue to develop, concerns over foreign misinformation through models developed in authoritarian countries have emerged. Do LMs favor their home countries? This study audits four frontier LMs by evaluating their favoritism toward world leaders, then measuring how favoritism propagates into misinformation belief. We found that although DeepSeek favors China, it also rates some Western leaders highly. We discuss the conflict between data bias and guardrails, how language shapes favoritism, the “positive” future of LM-based soft propaganda, and how an AI’s own internal thoughts can unwillingly reveal explicit directives.

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Publication Details

Journal
Harvard Kennedy School Misinformation Review
Published
2025-09-22
DOI
https://doi.org/10.37016/mr-2020-183
Primary Topic
Misinformation and Its Impacts
Type
article
Field-Weighted Citation Impact
0.00
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article

Do language models favor their home countries? Asymmetric propagation of positive misinformation and foreign influence audits

Hui‐Yin Lo, Yung-Chun Chen, Ho-Chun Herbert Chang, Sean Noh et al.
Harvard Kennedy School Misinformation Review
Misinformation and Its Impacts
article

Do language models favor their home countries? Asymmetric propagation of positive misinformation and foreign influence audits

Hui‐Yin Lo, Yung-Chun Chen, Ho-Chun Herbert Chang, Sean Noh, Mingyue Zha, Tracy Weener
article en

Abstract

As language models (LMs) continue to develop, concerns over foreign misinformation through models developed in authoritarian countries have emerged. Do LMs favor their home countries? This study audits four frontier LMs by evaluating their favoritism toward world leaders, then measuring how favoritism propagates into misinformation belief. We found that although DeepSeek favors China, it also rates some Western leaders highly. We discuss the conflict between data bias and guardrails, how language shapes favoritism, the “positive” future of LM-based soft propaganda, and how an AI’s own internal thoughts can unwillingly reveal explicit directives.

Harvard Kennedy School Misinformation Review
Dartmouth College (US)
Openalex Percentile: Top 65%
Misinformation and Its Impacts
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Do language models favor their home countries? Asymmetric propagation of positive misinformation and foreign influence audits — Hui‐Yin Lo, Yung-Chun Chen, et al. · Harvard Kennedy School Misinformation Review (2025) | TGRS Research Map | TGRS