Kiểm chứng hình ảnh trong bối cảnh trí tuệ nhân tạo

In the context of rapidly developing digital media and artificial intelligence, images are increasingly playing an important role in journalism while also posing new challenges to information verification and public opinion orientation. The rise of manipulated visual content, especially AI-generated content and deepfakes, has undermined the credibility of visual evidence and increased the risk of information disorder. Based on a synthesis of theoretical approaches to information verification, an analysis of international verification studies and guidelines, and media practices in Vietnam, the article clarifies the role of image verification in contem porary journalism. The article focuses on proposing a four-step framework for image verification, including source tracing, spatiotemporal context checking, assessment of content integrity, and appropriate editorial de cision-making. The article contributes theoretical foundations and professional recommendations to support journalism in enhancing information verification, limiting the spread of manipulated images, and promoting the role of guiding public opinion in the context of artificial intelligence.