Characteristics, Impacts, and Governance Strategies of Internet Misinformation Dissemination in the Era of Large Models

The dissemination of internet misinformation has become a global challenge in the era of large models. This study explores the characteristics, impacts, and governance strategies of misinformation, focusing on the role and unique features of large model technologies in generating and spreading false information. Through a combination of literature review, theoretical modeling, and empirical data analysis, the study systematically examines the mechanisms and socio-psychological roots of misinformation dissemination and develops a theoretical framework for the role of large models in this process. The findings reveal that the generation capabilities of large models, personalized recommendation algorithms, and the complexity of information diffusion pathways are key drivers of the rapid spread of misinformation. Such misinformation disrupts individual decision-making, public opinion, social trust systems, and the information ecosystem. Based on these insights, the study proposes multidimensional governance strategies encompassing technological regulation, legal frameworks, and public education to provide theoretical and practical guidance for misinformation control. The results suggest that fostering a collaborative governance framework is an effective approach to addressing the challenges of misinformation dissemination in the large-model era.