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Algorithm Transparency and Its Impact on Mobile App User Experience: A YouTube Case Study
- 1 School of Social Sciences, The University of Manchester, Manchester M13 9PL, UK
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Abstract
This study examines the relationship between transparency perception and trust in video content consumption and further discusses the mediating role of trust between perceived transparency and purchase intention. The impact of transparency perception on trust was evaluated using a linear regression model. The regression model revealed that for every 1 unit increase in transparency perception, trust increases by 0.494 units (p < 0.01). The model’s R-squared value of 0.251 indicates that transparency perception explains 25.1% of the variation in trust. In addition, demographic trends in video platform usage, including frequency of use and content preferences, were analyzed. Finally, reliability and validity tests supported the robustness of the measurement tools, with Cronbach’s α coefficients of 0.876, 0.877, and 0.847 for transparency perception, trust, and purchase intention, respectively. A mediating effect of trust on the relationship between transparency perception and purchase intention was also found, which means that improving transparency perception can improve trust and further affect purchase intention through trust.
Keywords
Transparency perception, trust, purchase intention, regression analysis, video content
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Cite this article
Liu,H. (2025). Algorithm Transparency and Its Impact on Mobile App User Experience: A YouTube Case Study. Advances in Economics, Management and Political Sciences,166,57-70.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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Volume title: Proceedings of the 4th International Conference on Business and Policy Studies
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