Interview data underlying the MSc thesis: Understanding unreflective habit formation on TikTok as a system safety problem: an explorative study in Vietnam

DOI:10.4121/1f4ed9e5-2465-40e5-983d-c235150c97e0.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/1f4ed9e5-2465-40e5-983d-c235150c97e0

Datacite citation style

Trân, Nhi (2025): Interview data underlying the MSc thesis: Understanding unreflective habit formation on TikTok as a system safety problem: an explorative study in Vietnam. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/1f4ed9e5-2465-40e5-983d-c235150c97e0.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

There are increasing concerns regarding an insidious consequence of social media: the erosion of user autonomy. The research aims to explore unreflective habit formation – an expression of loss of user autonomy - in the context of TikTok usage in Vietnam and to apply STAMP model to conceptualize the issue and the STPA method to provide actionable recommendations to the Vietnam Government. Being explorative, the research adopts desk research and qualitative methods. By integrating different concepts of autonomy in philosophy and HCI, the research identifies five key dimensions of autonomy, namely decision, execution, self-congruence, independence and system hostility. As social media exploits neurological reward cycles to reinforce user habits, user autonomy is infringed under the decision, execution and system hostility dimensions. Semi-structured interviews were conducted with 12 Vietnamese female university students in Hue during April 2025, revealing that their impulsive TikTok habitual use is unreflective. There are three main losses from this impulsive habit: time, focus capacity and identity rigidification. The responsibility for regulating social media platforms lies with the Government. They should adopt a combined strategy that integrates strict regulation of social media with comprehensive public education. These measures must be informed by up-to-date scientific research on user behavior and platform design. Regulations should not target TikTok in isolation, as the platform’s features are widely replicated across the industry. While applying STAMP model and STPA method to social media reveals both challenges and benefits, this approach is appropriate as it offers actionable insights that support targeted and comprehensive policy strategies.

History

  • 2025-06-26 first online, published, posted

Publisher

4TU.ResearchData

Format

docx, pdf, xlsx

Organizations

TU Delft, Faculty of Technology, Policy and Management

DATA

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