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The Influence Of Algorithmic Recommendation Mechanism On Media Policy

Posted on:2022-07-13Degree:MasterType:Thesis
Country:ChinaCandidate:H TangFull Text:PDF
GTID:2518306476992249Subject:Communication
Abstract/Summary:PDF Full Text Request
Media is the carrier used by human to transmit and preserve information,and plays an extremely important role in the progress of human civilization.At the same time,as a special technology bearing human knowledge and thoughts,media technology plays a very special role in the relationship between technology and human.Media technology runs through the development process of human and human society,and at the same time is closely related to human cognition and thought.Therefore,the development and application of media technology reflects the general process of technology development,and the change of its relationship with human also reflects the evolution of the relationship between technology and human to some extent.This paper takes the emerging algorithmic push technology and macro media policy regulation as the research object,and explores how the interaction between algorithmic push technology and people affects macro policy regulation and control based on the evolution of media technology.In recent years,algorithm-based push has become the mainstream way for many new media platforms to distribute information to users,such as social media "weibo" and "douyin",and news aggregator media "toutiao" and "netease news".These platforms are making personalized push to news and other forms of information content through algorithms,so as to meet users' diversified information needs and become new media platforms favored by many netizens.These platforms select the information that users are interested in through algorithms,so as to push personalized information to users more accurately.In recent two years,the short video platform led by "Douyin" has gained rapid user growth through rich video content and precise content push,and has become a new media platform with sharp user growth.However,in the development process of emerging technologies,some inevitable disadvantages will inevitably be highlighted.Although algorithmic push technology is becoming more and more accurate,under the algorithmic push logic of "the more I like something,the more I see it",information cocoon room and a series of negative effects are easy to appear.The media can set the agenda of users through algorithms,which will also affect users' judgment on the importance of information.The negative effects brought by these algorithms are worth studying and discussing.When the algorithm-based push mechanism becomes popular and the public generally does not understand the operation logic behind it,in the long run,a large number of users will inevitably be immersed in the information receiving mode of accurate push and cannot extrude themselves.At the same time,as the algorithm push technology itself is not in the hands of the government,the market economy will inevitably be affected by the interests.Once the technology as a whole is inclined to serve the interests,the public's thoughts under the catalyzed by this mode will inevitably be more negatively affected or even regressed.Therefore,this situation inspires the research topic of this paper.
Keywords/Search Tags:Media, Algorithm recommendation mechanism, Media policy, Media technology
PDF Full Text Request
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