• Login
  • Register
  • Search

A Study on the Causes of Information Cocoons and Multidimensional Coping Strategies from the Perspective of Ideological and Political Education in Universities

Yinan Du

Abstract


With the rise of algorithmic recommendation systems, college students are increasingly confined to personalized information streams, leading to “information cocoons” that hinder exposure to diverse perspectives and weaken ideological and political education. This paper constructs a three-dimensional synergy model—linking algorithms, cognitive preferences, and social networks—to reveal the formation mechanism of these cocoons. It further proposes strategies such as recommendation optimization, media literacy enhancement, and social structure reshaping, offering theoretical and practical guidance for value-oriented online education in universities.

Keywords


Information cocoon; Algorithmic recommendation; Media literacy; Ideological and political education; Breakthrough mechanism

Full Text:

PDF

Included Database


References


[1] Pariser, E. (2011). The Filter Bubble: What the Internet is Hiding from You. Penguin Press.

[2] Bozdag, E., & van den Hoven, J. (2015). Breaking the filter bubble: Democracy and design. Ethics and Information Technology, 17(4), 249–265. https://doi.org/10.1007/s10676-015-9380-y

[3] Nguyen, C. T., Hui, P. M., Harper, F. M., Terveen, L., & Konstan, J. A. (2014). Exploring the filter bubble: The effect of using rec-ommender systems on content diversity. In Proceedings of the 23rd international conference on World Wide Web (pp. 677–686). https://doi.org/10.1145/2566486.2568012

[4] Cinelli, M., Morales, G. D. F., Galeazzi, A., Quattrociocchi, W., & Starnini, M. (2021). The echo chamber effect on social media. Proceedings of the National Academy of Sciences, 118(9), e2023301118. https://doi.org/10.1073/pnas.2023301118

[5] Bakshy, E., Messing, S., & Adamic, L. A. (2015). Exposure to ideologically diverse news and opinion on Facebook. Science, 348(6239), 1130–1132.

[6] Ge, M., Delgado-Battenfeld, C., & Jannach, D. (2020). Beyond accuracy: evaluating recommender systems by coverage and serendipity. Information Systems Frontiers, 22(4), 1031–1046.

[7] Knobloch-Westerwick, S., Johnson, B. K., & Westerwick, A. (2020). Confirmation bias in online information selection: The role of selective exposure in shaping opinions. New Media & Society, 22(7), 1147–1164.




DOI: http://dx.doi.org/10.18686/ahe.v8i11.14087

Refbacks