Exploring the Influencing Factors of Breaking Through the Information Cocoon
Abstract
In information dissemination, the public often only focuses on the areas of communication they are interested in. Over time, the algorithm recommendation mechanism of online platforms will confine users to information cocoons like “cocoon rooms.” Information cocoons allow users to continuously obtain homogeneous information, resulting in a narrow field of vision and a negative impact on media dependence. With improving media awareness and self-awareness among users, some users are actively breaking the information cocoon. This paper investigates the behavior of Weibo users, combined with their behavioral characteristics, to study their proactive behavior and explore the factors that affect them to break the information cocoon. This can help users break through the information cocoon and receive more comprehensive and rich information. Simultaneously achieving a balance in user access to information across various platforms is beneficial for long-term retention. Specifically, a quantitative study is conducted using a questionnaire survey method. Then, correlation analysis and result regression analysis were used for the analysis. The conclusion is that the more frequent information encounters and policy interference, the higher the complexity of online information, and the easier it is for users to break through the information cocoon.
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