The deep penetration of artificial intelligence technology has reshaped the online public opinion communication ecology, triggering systematic changes in communication characteristics and governance models. This paper focuses on the new characteristics, governance obstacles, and regulatory innovation paths of online public opinion in the era of artificial intelligence. Through literature research, case analysis, and comparative research, it is found that at the communication level, online public opinion presents new features such as information production human-machine collaboration, information distribution algorithm dominance, multi-modal public opinion interaction, and non-linear evolution of public opinion; At the governance level, there are obstacles such as technological blind spots caused by algorithmic black boxes, institutional lag caused by ambiguous division of rights and responsibilities, and failure of multi-party collaboration; At the regulatory level, it is necessary to establish a three-dimensional innovation path of "technology system multiple subjects", including promoting algorithm transparency, improving laws and regulations, and building a collaborative governance system. The research aims to provide theoretical reference and practical guidance for solving the problem of disorderly online public opinion in the era of artificial intelligence and improving governance efficiency.

Jinshuai Qu. New Characteristics and Governance Obstacles of Online Public Opinion Dissemination in the Era of Artificial Intelligence and Innovative Regulatory Paths. International Journal of Frontiers in Sociology (2025), Vol. 7, Issue 5: 54-59. https://doi.org/10.25236/IJFS.2025.070509.

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