Research on the Crisis of News Authenticity and Coping Strategies in the AIGC Era
Download PDF All ArticlesWith the rapid iteration of generative AI technology, AIGC is being widely applied across the entire news process, including news collection, content writing, material editing, and distribution, reshaping the production model of the news industry. Thanks to its efficient and low-cost content production, AIGC empowers journalism but also brings new challenges to news authenticity. Fake text and images, deepfake audio and video, and AI-generated false information are flooding in, blurring the line between fact and fiction and challenging traditional standards of news truthfulness. This article uses literature review and case analysis to sort out the current applications of AIGC in the news field, analyze the multiple manifestations of the authenticity crisis, uncover deep causes behind the crisis such as technology, industry regulation, media ethics, and audience media literacy, and explore ways to ensure news authenticity in the AIGC era, hoping to provide theoretical reference for the news industry to use generative AI responsibly and uphold the baseline of news truth.
随着生成式人工智能技术快速迭代，AIGC广泛应用于新闻采集、内容写作、素材剪辑与传播分发全流程，重塑新闻行业生产模式。AIGC凭借高效、低成本的内容生产优势，为新闻业赋能的同时，也带来新闻真实性层面的全新挑战。虚假图文、深度伪造音视频、AI自动生成不实信息大量涌现，模糊事实与虚构的边界，冲击传统新闻真实性准则。本文采用文献研究法、案例分析法，梳理AIGC技术在新闻领域的应用现状，剖析新闻真实性危机的多重表现，挖掘危机背后技术、行业监管、媒体伦理、受众媒介素养等深层成因，探索适配AIGC时代的新闻真实性保障路径，以期为新闻行业规范使用生成式人工智能、守住新闻真实底线提供理论参考。