TikTok Engagement Traces Over Time and Health Risky Behaviors: Combining Data Linkage and Computational Methods

TL;DR

This study combines digital trace data and self-reports to examine how TikTok engagement with health-risk content correlates with vaping and drinking behaviors, revealing that initial likes influence future engagement and behaviors.

Contribution

It introduces a novel methodological approach combining data linkage, computational analysis, and self-reports to objectively study social media's behavioral impact.

Findings

Likes on drinking videos predict increased drinking behavior.

Engagement with health-risk videos influences vaping and drinking habits.

Methodology enhances understanding of social media's behavioral effects.

Abstract

Digital technologies and social algorithms are revolutionizing the media landscape, altering how we select and consume health information. Extending the selectivity paradigm with research on social media engagement, the convergence perspective, and algorithmic impact, this study investigates how individuals' liked TikTok videos on various health-risk topics are associated with their vaping and drinking behaviors. Methodologically, we relied on data linkage to objectively measure selective engagement on social media, which involves combining survey self-reports with digital traces from TikTok interactions for the consented respondents (n = 166). A computational analysis of 13,724 health-related videos liked by these respondents from 2020 to 2023 was conducted. 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 influencing their self-reported vaping and drinking behaviors. Our study highlights the methodological value of combining digital traces, computational analysis, and self-reported data for a more objective examination of social media consumption and engagement, as well as a more ecologically valid understanding of social media's behavioral impact.