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The burgeoning field of Artificial Intelligence Generated Content (AIGC) is garnering widespread attention and discussion across various industries. AIGC, an emerging form of content creation utilizing artificial intelligence, complements traditional content generation paradigms such as Professional Generated Content (PGC) and User Generated Content (UGC). On February 16, 2024, OpenAI officially announced its first text-to-video model - Sora. Sora's capabilities and attributes are sufficient to astonish the world: through text instructions, it can directly output videos up to 60 seconds long. These videos are not simple; they contain highly detailed backgrounds, complex multi-angle shots, and emotionally rich characters, bringing about a revolutionary impact on the news production process. This paper aims to explore the impact of AIGC on the news production process, encompassing aspects of news gathering, writing, and distribution. It also examines the opportunities and risks associated with AIGC's multimodal and large model characteristics. Furthermore, the paper proposes strategies to mitigate risks in AIGC news production from user, technological, and management perspectives, providing insights and contemplations for news producers and practitioners.
Zhang et al. (2024) studied this question.
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