Research On Algorithmic Checking Mode Of Aggregate News Platform

The development and application of artificial intelligence?big data and other technologies have brought great changes to the media industry.The performance includes algorithms that are being used in news production?information distribution,and user's feedback.One of the most important changes is the use of algorithm recommendation technology,which is to match the push content according to the user's personal interests,so as to achieve the "thousands of thousands of face" information content distribution mode.This method of filtering content based on the algorithm also shows that after the check and editing of the reporter,the technical check has become an important means of information control.With the attempt to open the algorithm push in 2012,various information apps such as Netease News and other platform have begun to explore the algorithm recommendation.What needs to be realized is that in the traditional media era,the control of content lies in journalists and editors.However,in the main way that algorithm recommendation becomes the way for people to obtain information,the editing role has begun to retreat,and instead the algorithm controls the content.This is a profound power transformation.From manual editing to algorithm distribution,the production and distribution modes of news are constantly changing with the development of technology.The traditional role of the gatekeeper is fading.How important is the importance and influence of algorithmic distribution on information control? The problem.This article takes the classic communication theory as the basis,and takes the platform-based media today as a case,combining the author's internship experience in today's headlines,and then interviewing the relevant staff to understand the technical logic of the algorithm recommendation and the standard of manual editing and review.Research on how the algorithm recommendation model brings about the content control,understand its recommendation principle and mechanism,and then analyze the negative impact of the dominant mode of the algorithm on users and information ecology.