Algorithm, Rule, and Flow: The Influence of Short Video Information Control Category on High School Students' Cognitive Construction
DOI:
https://doi.org/10.54097/g6h10a36Keywords:
Short Video; Information Control; High School Students; Cognitive Construction; Media Literacy Education.Abstract
As the short video is deeply embedded in the daily life of high school students, the information control mechanism behind it has a far-reaching impact on high school students who are in the critical period of cognitive shaping. This paper takes the "short video information control category" as the core analysis framework to explore how its three dimensions of technology, rules, and business systematically affect the cognitive construction of high school students. The study found that the control category has three significant effects on senior high school students' cognition through the algorithm cocoon room, content filtering, and flow logic: first, in terms of cognitive breadth, it leads to narrow information contact and limited vision. Second, in terms of cognitive depth, it promotes the fragmentation of thinking and the shallowness of logic. Third, in terms of cognitive judgment, it leads to value utilitarianism and factual judgment deviation. In response to this challenge, this paper puts forward systematic countermeasures from the perspective of educational intervention: to build a media literacy education system to improve students' information critical ability, promote deep reading and project-based learning, repair their deep thinking mode, strengthen the guidance of values and diversified practice, and correct cognitive bias.
Downloads
References
[1] China Internet Network Information Center (CNNIC). The 53rd Statistical Report on China's Internet Development, 2024.
[2] Gillespie T. Custodians of the Internet: Platforms, Content Moderation, and the Hidden Decisions That Shape Social Media. Yale University Press, 2018.
[3] Yu G, Yang Y. Does algorithm recommendation inevitably lead to the "information cocoons" effect? --A perspective based on media richness and user signal-to-noise ratio perception. News Frontier, 2021, (12): 4-12.
[4] Pariser E. The Filter Bubble: What the Internet Is Hiding from You. Penguin Press, 2011.
[5] Zuboff S. The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power. Public Affairs, 2019.
[6] van Dijck J, Poell T, de Waal M. The Platform Society: Public Values in a Connective World. Oxford University Press, 2018.
[7] Ahmadkhani S, Moghaddam M E. A social image recommendation system based on deep reinforcement learning. PLoS ONE, 2024, 19(4): e0300059.
[8] Zhou X, Yao X. An empirical study on the impact of cognitive preferences and teaching satisfaction on online teaching effectiveness--A case study of the finance professional cluster in "Double First-Class" vocational colleges. Education and Vocation, 2023, (15): 107-112.
[9] Yin M. The practical dilemma and due path of data-driven precision teaching in ideological and political courses in universities. Advances in Social Sciences, 2025, 14(4): 181-188.
[10] Campbell C N. Healthcare inequities and healthcare providers: We are part of the problem. International Journal for Equity in Health, 2025, 24(1): 1-10.
[11] Li Z. Research on short video recommendation algorithms based on user behavior analysis. Liaoning Petrochemical University, 2019.
[12] Ren D. A study on the impact of China's mainland cultural soft power on Taiwanese youth. Taiwan Strait Studies, 2023, (4): 78-90.
[13] Gao Y, Zhang L, Lu Z, et al. Research on an alumni activity recommendation system based on SVD. China New Telecommunications, 2023, 25(15): 42-44.
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Journal of Education and Educational Research

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.









