Leveraging Artificial Intelligence Chatbots to Employ Bypassing and Correction Strategies for Addressing Misinformation About Contraceptive Use

We examined whether bypassing and combined (correction with bypassing) strategies delivered through artificial intelligence (AI) chatbots can address contraceptive misinformation. In Study 1, we found through observational reddit data that bypassing, correction, and combined strategies were present in online discussions and were more engaging than other responses. In Study 2, an experiment employing AI chatbots found that the combined strategy improved recommendation intentions compared with the control conditions, while also reducing beliefs in misinformation. The combined strategy AI chatbot was viewed as warmer and more competent than the correction, invoking less reactance and increasing recommendation intentions. Practical and theoretical implications are discussed.

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Publication Details

Journal
Science Communication
Published
2026-02-15
DOI
https://doi.org/10.1177/10755470261418533
Primary Topic
Misinformation and Its Impacts
Type
article
Field-Weighted Citation Impact
0.00
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article

Leveraging Artificial Intelligence Chatbots to Employ Bypassing and Correction Strategies for Addressing Misinformation About Contraceptive Use

Haoning Xue, Christopher Calabrese, Yoo Jung Oh, X. Zhang
Science Communication
Misinformation and Its Impacts
article

Leveraging Artificial Intelligence Chatbots to Employ Bypassing and Correction Strategies for Addressing Misinformation About Contraceptive Use

Haoning Xue, Christopher Calabrese, Yoo Jung Oh, X. Zhang
article en

Abstract

We examined whether bypassing and combined (correction with bypassing) strategies delivered through artificial intelligence (AI) chatbots can address contraceptive misinformation. In Study 1, we found through observational reddit data that bypassing, correction, and combined strategies were present in online discussions and were more engaging than other responses. In Study 2, an experiment employing AI chatbots found that the combined strategy improved recommendation intentions compared with the control conditions, while also reducing beliefs in misinformation. The combined strategy AI chatbot was viewed as warmer and more competent than the correction, invoking less reactance and increasing recommendation intentions. Practical and theoretical implications are discussed.

Science Communication
University of Utah (US), Clemson University (US), Michigan State University (US)
Good health and well-being
Openalex Percentile: Top 60%
Misinformation and Its Impacts
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