| In recent years,Artificial Intelligence technology has matured and gradually become a platform for development.Medical care,finance,real estate,automobile,and other industries are actively exploring new business models for AI development.Since the advent of the Internet,misinformation and other illicit content has slowly crept into the mainstream,causing a disturbance to the social order,thus posing a severe challenge for a healthy ecosystem of the Internet.Therefore,the Internet content audit has important practical significance.The task is demanding and the amount of content to be audited is vast.Hence,the Internet content audit based on artificial intelligence has become an inevitable choice.This paper utilizes three methods of analysis to study the Internet content audit.The literature analysis method,the personal interview method,and the case analysis method.The aim is to provide a valuable mode of Internet content audit based on artificial intelligence.This paper analyzes the current situation of Internet content audit from the aspects of Internet content audit standards,mechanisms and methods.The paper also highlights and analyzes the reasons behind the problems that exist in manual auditing,such as low audit efficiency,high cost and low accuracy.Finally,the paper will analyze the feasibility of introducing artificial intelligence technology into Internet content auditing from a technological,economic,political and market,and design point of view.An Internet content audit mode based on artificial intelligence can improve audit efficiency while reducing the audit cost while ensuring the security of content of the Internet. |
