Research on Internet Rumor Identification Based on Artificial intelligence Text Content Analysis

The Internet is profoundly affecting and changing the politics, economy, culture, and life of our society. The social media such as Weibo, WeChat, Twitter, etc. that came into being have brought convenience to people, and the rapidly spreading rumor information has become An obvious issue in the Internet age. The negative effects brought about by the generation and spread of rumors can easily stimulate social conflicts and affect the personal life and even the harmony and stability of the country and society. Therefore, how to identify and stop the Internet rumors in a timely and accurate manner before they spread widely. At present, Sina Weibo in China is one of the most active social networking platforms. Free and convenient information dissemination is a major feature of Weibo, but this feature also facilitates the breeding and spread of rumors. Therefore, this paper selects Sina Weibo as the data source to conduct research on the identification of online rumors.