Research on the Generation Mechanism of"Information Co-coon"of We-Media Platform from the Perspective of Evolution-ary Game
With the development of new information technologies such as artificial intelligence,big data and cloud computing,information dissemination has entered a new era.With its advantages,algorithms have become the core tools of personalized information dissemination on we-media platforms.However,this algorithm-driven approach to information dissemination also brings its own set of challenges,such as the information cocoon.Therefore,in the era of algorithms,it is imperative to deeply analyze the formation mechanism of information cocoon,explore the solution to the dilemma of contemporary information cocoon,and standardize the information transmission.This study discussed the formation mechanism of information cocoon under the recommendation algorithm of we-media platform from the perspective of evolutionary game theory.By constructing an evolutionary game model between the we-media platform and users,this study analyzed how the change of platform and user's strategy choice in the process of information transmission leads to the phenomenon of information cocoon.It was found that the formation of information cocoon can be effectively reduced by increasing the cost of platform recommendation of heterogeneous information,improving the benefit of users receiving heterogeneous information,and punishing the homogenized recommendation strategy by the government.This study provided strategic suggestions for standardizing we-media recommendation algorithms,aiming at promoting the diversity and fairness of information and maintaining a healthy network information ecology.
we-media platformalgorithm recommendationinformation cocoonevolutionary game
NETL
NSTL
万方数据
