Algorithmic Recommendation Research On News Ethics Issues

This paper takes the Toutiao APP recommendation algorithm as an example,combined with the agenda setting theory,combs out the flow chart of algorithm recommendation news for users,and analyzes the algorithm recommendation news communication check mode as manual check + algorithm matching mode,and its agenda setting mode is user.The dynamic mode of preference + platform agenda,the core of algorithm recommendation news is to give users a mobile news candidate set.The separation of news content and distribution platform makes the algorithm aggregation news client not only an information processing tool,but also plays the role of network news communicator and communication intermediary.This role concentrates on the power of algorithm editing agenda,in business.Under the leadership of thinking,the news field and the political,economic,cultural and other fields are constantly interacting.The platform algorithm sets the algorithm according to different purposes,and influences the agenda through such biased algorithms,thus affecting the user's cognitive bias.On this basis,it also triggered some ethical phenomena and problems caused by the recommendation of news by the algorithm: First,the algorithm recommendation news platform satisfies the user through the design of the agenda,and creates a “algorithm mimicry environment” full of implicit induction for the user.The ethical issues inherent in online news are further complicated.For example,the algorithm recommends that the news continue to intensify and intensify the prejudice,and the impact on the news is not further expanded.The boundary of privacy rights is also more blurred.Second,at the level of “self,self and super self”,the algorithm recommended news to enhance the user's stickiness by satisfying the user “self”,but the user's “self” and “super” levels are not available.Balanced culture,implicit consumption induction and entertainment induction make users addicted to the anesthesia of algorithmic recommendation media.The most important thing is that the actual development of the algorithm recommendation news can not create a truly personalized news service.This paper believes that personalized news service is neither necessary nor really feasible.This unrestricted pursuit of algorithms and other technologies may make The thoughts we hide in our brains are directly exposed to increase the risk of ideological assimilation,and even the possibility of dissolving the ability of human beings to think independently.Finally,in response to the algorithm recommendation news generation and possible ethical issues,countermeasures such as strengthening manual editing orientation,strengthening platform social interaction function,establishing algorithm risk prevention mechanism,and legislative supervision news algorithm are proposed.