Research On News Production Based On Artificial Intelligence Technology

In the field of news dissemination,how to better apply artificial intelligence technology in all aspects of news production and how to solve a series of problems brought by new technologies to news production have become hot topics in academic circles and the industry.Based on the analysis of nearly a hundred related achievements in academic circles and the industry,this paper reconsiders the scope of research on news production under the background of artificial intelligence,and from the theoretical perspective of news dissemination and the actual situation of the industry,uses the theories of "agenda setting","long tail" and "post-truth" to analyze the positive influence and problems of artificial intelligence technology on current news production.Artificial intelligence technology has had a great impact on news production and has made improvements in news source,news feedback,writing mode,news experience and news distribution channels.Artificial intelligence is reconstructing the news production process.At the same time,there are also many loopholes in artificial intelligence production content and information dissemination.For example,machine news writing is limited by technical rules and has its own limitations.In the process of dissemination,there is "virtual mining" using algorithm vulnerabilities,which puts users in "information cocoon room".The utilization of data resources is in urgent need of standardization and faces risks brought by new technologies such as big data.As for the problems,we can try to solve them from the aspects of machine "hidden wisdom" technology development,supporting legal follow-up,national AI education,etc.,and we can draw lessons from foreign experience while combining the domestic reality to complete comprehensive consideration.