Algorithmic short-video music consumption and academic related functions: a three-wave longitudinal study of university students
Dong J, Zhang H, Zhao J, Yuan R
Frontiers in psychology · 0 citas
Cómo se estudió
- Diseño
- Estudio de cohortes (clasificado por nuestro filtro de IA)
- Estudiado en
- Personas
- Resultado principal
- Marcadores de salud y funcionamiento
Quién lo pagó
- Financiación
- Financiación independiente
Según la declaración de financiación del texto completo.
Publicación
- Publicado
- 2026-08-27 · Front Psychol · vol. 17 · pág. 1907189
- Editorial
- Frontiers Media
- Citado
- 0 citas · más que el 69% de estudios similares · 0.0× el promedio de su campo
- Referencias
- 49 trabajos
- Acceso
- Acceso abierto (revista) · CC-BY
- Áreas de investigación
- Impact of Technology on Adolescents · Perfectionism, Procrastination, Anxiety Studies · Flow Experience in Various Fields
- Palabras clave
- algorithmic curation, attentional control, academic procrastination, academic flow, academic self-regulation, university students, digital media use, Chinese university students
4 autores
- Jia Dong🇨🇳Nanjing Normal University
- Hailong Zhang🇨🇳Linzhou College of Architectural Technology
- Jianjian Zhao🇨🇳 · autor de correspondenciaAnshan Vocational and Technical College
- Ruikai Yuan🇧🇩Southeast University
Resumen
El texto original del estudio, en el idioma en que se publicó.
Introduction
Short-video platforms have become deeply embedded in Chinese university students' daily routines, and the music delivered through algorithmically curated short clips differs in important ways from traditional, self-selected music listening.
Methods
The present study tested whether algorithm-driven short-video music consumption is prospectively associated with attentional control, academic procrastination, and academic flow across one academic term. A three-wave longitudinal survey was conducted across one academic term, with measurement intervals of approximately 6 weeks. Chinese university students (N = 920 at Time 1; N = 820 retained at Time 3) completed measures of short-video music consumption, attentional control, academic procrastination, and academic flow at each wave. An observed-variable cross-lagged panel model was estimated to examine autoregressive stability and hypothesized cross-lagged paths, with reverse paths and baseline daily short-video use included for robustness.
Results
The results indicated that higher short-video music consumption prospectively predicted lower attentional control across both intervals (βs = -0.17 and -0.12); better attentional control predicted lower subsequent academic procrastination (βs = -0.23 and -0.14) and higher subsequent academic flow (βs = 0.18 and 0.14); and higher academic procrastination predicted lower subsequent academic flow (βs = -0.20 and -0.14). Bootstrapped indirect effects from short-video music consumption to academic procrastination (βs = 0.024) and academic flow (βs = -0.024) through attentional control were significant, as was the indirect effect from attentional control to academic flow through procrastination (βs = 0.031).
Discussion
The findings highlight the value of distinguishing intentional music listening from algorithmically delivered short-video music consumption when considering students' academic self-regulation in contemporary digital media environments.
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