The Impact of Multidimensional AI Risk Perception on Regulatory Preferences: The Moderating Effect of Perceived Algorithmic Amplification of Political and Social Conflict

Key Points

• The study examines how different dimensions of AI risk perception affect regulatory preferences and the moderating role of perceived algorithmic amplification of conflict.
• Utilized data from the 2024 Intelligent Information Society User Panel Survey.
• Conducted OLS regression analysis to investigate relationships among variables.
• Analyzed effects across various platforms like Naver, Google, and YouTube.
• Four dimensions of AI risk perception significantly increased regulatory preferences.
• The strongest predictor was the risk of misinformation and crime misuse.
• The effect of confirmation bias and discrimination risk on regulatory preferences was stronger when algorithms are perceived as promoting conflict.
• Heterogeneity was observed in effects across platforms.

Abstract