Proceedings of the
The Nineteenth International Conference on Computational Intelligence and Security (CIS 2023)
December 1 – 4, 2023, Haikou, China
Research on Factors Influencing and Strategies to Address Excessive Use of Short Videos among College Students
City College of Dongguan, Dongguan, China.
ABSTRACT
Short videos' entertaining, immersive, and convenient features contribute to excessive use among college students, negatively impacting their lifestyles and well-being. This study utilizes a Structural Equation Modeling approach to construct a model of factors influencing excessive short video consumption among college students, focusing on environmental, personal, and technological factors. To address the reality of college students' short video-viewing habits, we designed a survey questionnaire and analyzed the collected data using SPSS 26.0 and AMOS 26.0 to validate our theoretical model and research hypotheses. Ultimately, we propose targeted recommendations, including strengthening guidance and supervision at the environmental level, enhancing intrinsic motivation and self-control at the personal level, and mitigating algorithmic risks at the technological level, to promote the healthy development of platforms and guide college students in using short videos reasonably and responsibly.
Keywords: Short videos, Excessive use, Structural equation modeling.
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City College of Dongguan, Dongguan, China.
ABSTRACT
Short videos' entertaining, immersive, and convenient features contribute to excessive use among college students, negatively impacting their lifestyles and well-being. This study utilizes a Structural Equation Modeling approach to construct a model of factors influencing excessive short video consumption among college students, focusing on environmental, personal, and technological factors. To address the reality of college students' short video-viewing habits, we designed a survey questionnaire and analyzed the collected data using SPSS 26.0 and AMOS 26.0 to validate our theoretical model and research hypotheses. Ultimately, we propose targeted recommendations, including strengthening guidance and supervision at the environmental level, enhancing intrinsic motivation and self-control at the personal level, and mitigating algorithmic risks at the technological level, to promote the healthy development of platforms and guide college students in using short videos reasonably and responsibly.
Keywords: Short videos, Excessive use, Structural equation modeling.
Download PDF