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April 30, 2026Korean Journal of Journalism & Communication Studies

User Response Mechanisms to Bias in AI Chatbot Responses : The Roles of Perceptions, Emotions, and Social Presence

Ya Li Sohye Lim Hongjin Shim

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Key Points

This study analyzes how bias in AI chatbot responses influences user perceptions, emotional reactions, and satisfaction, and verifies the moderating effects of social presence.
Online survey conducted with 600 participants aged 14-60.
Evaluated perceptions of ethics, warmth, and ability related to chatbot responses.
Analyzed the impact of positive and negative emotions on user satisfaction.
Increased bias led to decreased perceptions of ethics, warmth, and ability in chatbots.
Positive emotions significantly enhanced satisfaction, while negative emotions lowered it.
Social presence was identified as a significant moderator in the relationship between perceived bias and user perception.

Implication

Examines how chatbot bias affects user perception and emotions, suggesting important ethical considerations.

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Cite This Study

Li et al. (2026) studied this question.

synapsesocial.com/papers/6a00217ac8f74e3340f9c64d https://doi.org/10.20879/kjjcs.2026.70.2.009

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