Navigating user agency in the algorithmic era: A cross-cultural study of perceived autonomy and media consumption intentions in China and South Korea

OBJECTIVE: To explore how algorithmic recommendation experiences shape media consumption intentions across different cultures based on the Stimulus-Organism-Response (S-O-R) framework and Self-Determination Theory (SDT). METHODS: Survey data collected from social media users in China and South Korea were analyzed using partial least squares structural equation modeling and multi-group analysis (MGA). RESULTS: Perceived autonomy significantly mediates the relationship between algorithmic stimuli (personalized perception and forced exposure) and viewing intentions in both nations. However, forced exposure exhibits a distinct cultural polarity reversal. It enhances perceived autonomy among Chinese users due to platform-led convenience. Conversely, it directly threatens autonomy among South Korean users who prioritize decision-making independence. Electronic word of mouth (eWOM) shows a non-significant moderating effect in both groups. CONCLUSIONS: In highly automated media environments, direct machine-user cognitive processing eclipses traditional external social signaling. The psychological impacts of algorithmic interventions are heavily bound by national culture rather than being universal.

Authors

Institutions

Publication Details

Journal
Acta Psychologica
Published
2026-06-17
DOI
https://doi.org/10.1016/j.actpsy.2026.107271
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Navigating user agency in the algorithmic era: A cross-cultural study of perceived autonomy and media consumption intentions in China and South Korea

Xiangzhou Hua, Weihua Qiao, Muhamad Faizal Zulkifli, Ying Yu
Acta Psychologica
AI in Service Interactions
article

Navigating user agency in the algorithmic era: A cross-cultural study of perceived autonomy and media consumption intentions in China and South Korea

Xiangzhou Hua, Weihua Qiao, Muhamad Faizal Zulkifli, Ying Yu
article en

Abstract

OBJECTIVE: To explore how algorithmic recommendation experiences shape media consumption intentions across different cultures based on the Stimulus-Organism-Response (S-O-R) framework and Self-Determination Theory (SDT). METHODS: Survey data collected from social media users in China and South Korea were analyzed using partial least squares structural equation modeling and multi-group analysis (MGA). RESULTS: Perceived autonomy significantly mediates the relationship between algorithmic stimuli (personalized perception and forced exposure) and viewing intentions in both nations. However, forced exposure exhibits a distinct cultural polarity reversal. It enhances perceived autonomy among Chinese users due to platform-led convenience. Conversely, it directly threatens autonomy among South Korean users who prioritize decision-making independence. Electronic word of mouth (eWOM) shows a non-significant moderating effect in both groups. CONCLUSIONS: In highly automated media environments, direct machine-user cognitive processing eclipses traditional external social signaling. The psychological impacts of algorithmic interventions are heavily bound by national culture rather than being universal.

Acta PsychologicaVol. 268
Cheongju University (KR), University of Malaya (MY), Zhengzhou Normal University (CN), Hangzhou Wanxiang Polytechnic (CN)
Peace, Justice and strong institutions
Openalex Percentile: Top 5%
AI in Service Interactions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.