Research on the Impact of AIGC on Traditional Media Audiences and Symbiotic Paths Based on Logistic Regression Model

Abstract

Under the background of the rapid development of artificial intelligence technology and the unstoppable wave of digitalization, AIGC has impacted the mode and core position of "gathering, editing and broadcasting" of traditional media. In order to explore the future development direction of the media industry, this paper quantifies the impact of AIGC on audience acquisition and retention of traditional media by constructing a logistic regression model, and analyzes the differences between them in content production and broadcast output by using radar chart and comparison chart. This paper analyzes the relationship between AIGC and traditional media in a comprehensive manner, taking into account their complementary advantages, diversity of audience needs, policy support and industry trends. The research shows that AIGC has impacted traditional media in terms of audience, editing content production and broadcast output, and traditional media is faced with technical shortcomings and talent shortage. However, the two have complementary advantages. With the support of policies, integration is an inevitable trend in the future development. Through symbiotic development paths such as collaboration in content creation, sharing of communication channels and cooperation in talent training, they can achieve complementary advantages, meet the diverse needs of audiences, and promote social and economic development and cultural prosperity.