TikTok engagement traces over time and health risky behaviors: Combining data linkage and computational methods

IF 8.3 2区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Telematics and Informatics Pub Date : 2025-07-05 DOI:10.1016/j.tele.2025.102305

Xinyan Zhao , Chau-Wai Wong

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引用次数: 0

Abstract

Digital technologies and algorithms are transforming how we consume health information. Extending the selectivity paradigm with research on social media engagement and algorithmic impact, this study investigates how individuals’ liked TikTok videos on various health-risk topics are associated with their vaping and drinking behaviors. We combine survey self-reports with computational analysis of TikTok videos from 2020 to 2023 (N = 13,724) to objectively assess the behavioral impact of selective engagement among consented respondents (N = 166). Our findings indicate that users who initially liked drinking-related content on TikTok are inclined to favor more of such videos over time, with their likes on smoking, drinking, and fruit and vegetable videos affecting their self-reported vaping and drinking behaviors. Findings highlight the value of data linkage for studying longitudinal social media effects and the need to address the influence of algorithm-driven digital content on risky health behaviors.

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TikTok参与追踪时间和健康风险行为：结合数据链接和计算方法

数字技术和算法正在改变我们消费健康信息的方式。本研究通过对社交媒体参与度和算法影响的研究，扩展了选择性范式，调查了个人对各种健康风险主题的TikTok视频的喜欢与他们的电子烟和饮酒行为之间的关系。我们将调查自我报告与2020年至2023年（N = 13,724）的TikTok视频的计算分析相结合，客观评估了同意受访者（N = 166）选择性参与的行为影响。我们的研究结果表明，最初喜欢TikTok上与饮酒相关内容的用户倾向于随着时间的推移更喜欢这类视频，他们对吸烟、饮酒、水果和蔬菜视频的喜欢影响了他们自我报告的吸烟和饮酒行为。研究结果强调了数据链接对于研究纵向社交媒体效应的价值，以及解决算法驱动的数字内容对危险健康行为的影响的必要性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Telematics and Informatics INFORMATION SCIENCE & LIBRARY SCIENCE-

CiteScore

17.00

自引率

4.70%

发文量

104

审稿时长

24 days

期刊介绍： Telematics and Informatics is an interdisciplinary journal that publishes cutting-edge theoretical and methodological research exploring the social, economic, geographic, political, and cultural impacts of digital technologies. It covers various application areas, such as smart cities, sensors, information fusion, digital society, IoT, cyber-physical technologies, privacy, knowledge management, distributed work, emergency response, mobile communications, health informatics, social media's psychosocial effects, ICT for sustainable development, blockchain, e-commerce, and e-government.