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arXiv · 2610.16623

The Effect of Expertise Signaling when Sharing Medical Information in Opinion Dynamics

Moyi Li·Chuqiao Yan·Jesus Jair Reyes Gutierrez·Aleksandra Urman·Stefania Ionescu
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Abstract

Social media heavily influences health decisions, yet few opinion dynamics models account for how information is delivered. This work investigates how signaling source expertise shapes trust and long-term opinion formation. Through an online experiment, we find that adding a professional title to the sender's display name significantly increases a post's perceived credibility. Incorporating these findings to create a data-driven opinion dynamics model, we prove that (1) connecting users through some paths to an expert guarantees consensus with experts' opinion, while (2) higher rates of expertise signaling accelerate reaching consensus. Simulations show that (3) convincing even 20% of users to signal their title reduces consensus time to nearly one-third in Erdos-Renyi networks and (4) higher title adoption brings average opinion much closer to that of experts in scale-free and real-world networks. Altogether, our work highlights expertise signaling as a viable intervention to promote validated medical information online.

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Moyi Li, Chuqiao Yan, Jesus Jair Reyes Gutierrez, Aleksandra Urman, Stefania Ionescu. 2026-10-12. The Effect of Expertise Signaling when Sharing Medical Information in Opinion Dynamics. https://arxiv.org/abs/2610.16623

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