The "Information Cocoons" Effect Recommended By Algorithm And Its Reflection

In 2016,it was hailed as the “Year of the Wisdom of Media,” and “Accounting Recommendations” based on user interests gradually became the main method of Internet news distribution.Personalized information clients that covered the main elements of “individual customization” became the most important for netizens to obtain news.The two channels.However,in the midst of its development in full swing,it also breeds a number of issues that warrant attention and vigilance.This study is divided into five parts.The first part is an introduction,sorting out the research background,research significance,literature review,innovation points and research methods.Although the current research in China," information cocoons " does not have a clear and strict academic interpretation,but through the literature review,this study Three characteristics of " information cocoons " were issued first: First,the space is closed;Second,information is narrowed;Third,the point of view converges.Based on these three characteristics,whether there is " information cocoons " in "Today headline" is explored.The second part introduces the personalized recommendation method and style of "Today Headline".The biggest feature of "Today Headline" is to provide customized news based on the user's "individualized" demand.The user is using the "Today Headline" process.You can customize your own channel,customize the news you receive,and set up service features.In the third and fourth parts,through the analysis of questionnaire surveys and interviews,it was found that users will form “information cocoons” in the process of using “Today Headlines”,which is reflected in three aspects: the user's use of personalized recommendations is sticky,but individuality The recommendation provides more closed space;the interaction between users and machines is frequent,because the personal energy is limited,the more users know the user,the narrower the content of the user's information is;the user's focus is on convergence,and he is interested in focusing on entertainment and society.news.The user attitude and algorithmic technology are the incentives for the “information cocoons”.Media dependence makes users less aware of information limitations and is optimistic about the "personalized recommendation" function.Finally,from the perspective of ethics and law,this article reflects on the “information cocoons” effect recommended by the algorithm.For individuals,“information cocoons” can lead to the “echo room” effect of information received by individuals and the perception of the real world.Unbalanced,and algorithm recommendation technology poses a threat to personal privacy security due to the collection of data;for society,“information cocoons” will intensify the polarization of network groups and even promote social differentiation.This study hopes to improve the algorithm through the filtering platform,value adherence,and the promotion of user media literacy,together to promote the personalized positioning of the news in the media development system in the healthy positioning and healthy development.