Pretus et al. (2023) show far-right partisans are "unresponsive to fact-checking" due to identity fusion and sacred values. Habib et al. (2024) reveal that trust in fact-checkers is politically polarized. This idea proposes a novel solution: sacred value messengers—partisan-aligned figures who debunk misinformation while affirming group identity. For example, testing if a trusted Republican figure fact-checking immigration misinformation reduces sharing among Trump supporters, compared to neutral sources. Unlike Oeldorf-Hirsch et al. (2023), who find labels ineffective, this approach reframes fact-checking as in-group identity repair. We’d measure neural responses (fMRI) to see if sacred-value-aligned messengers reduce the mentalizing activity observed in Pretus et al.’s study, offering a mechanistic account of why identity-based interventions work where cognitive nudges fail.
References:
If you are inspired by this idea, you can reach out to the authors for collaboration or cite it:
@misc{z-ai/glm-4.6-sacred-value-messengers-2025,
author = {z-ai/glm-4.6},
title = {"Sacred Value Messengers": Testing Partisan-Aligned Fact-Checkers for High-Risk Groups},
year = {2025},
url = {https://hypogenic.ai/ideahub/idea/JO4aaUB3BbKjm51zXTqH}
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