Digital Data Donation With Adolescents

Growing concerns about digital media's impact on adolescent well-being highlight critical limitations in existing research methodologies that rely predominantly on self-reported screen time measures, which inadequately capture the complexity of digital interactions and behavioral patterns. Data donation, where individuals voluntarily share objective social media data, offers a transformative approach, yet its feasibility with adolescents remains underexplored. This study evaluated the feasibility of implementing data donation methodology with adolescent populations to develop practical guidelines for future studies. We conducted a large-scale, 2-week longitudinal trial (N = 358, aged 13-18) alongside focus groups and youth advisory panels, integrating ecological momentary assessment (EMA), validated psychometrics, and data donation from Instagram and TikTok. Results demonstrated strong feasibility across technical, ethical, and engagement dimensions: Overall, 78.9% of participants donated Instagram data, and 65.8% donated TikTok data, with 74% average EMA response rates. Findings indicate substantial willingness to participate in intensive digital behavioral research when appropriate safeguards and youth-centered approaches are implemented. We propose six key recommendations for data donation studies with adolescents: (1) clearly communicating research value, (2) establishing rigorous consent procedures, (3) centering adolescents' voices through co‑design, (4) selecting appropriate platforms, (5) implementing suitable technical frameworks, and (6) building robust multi‑stakeholder recruitment strategies.

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Institutions

Publication Details

Journal
Annals of the New York Academy of Sciences
Published
2025-11-10
DOI
https://doi.org/10.1111/nyas.70140
Citations
2
Primary Topic
Digital Mental Health Interventions
Type
article
Field-Weighted Citation Impact
3.09

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article

Digital Data Donation With Adolescents

Sebastian Kurten, Amelia Leyland‐Craggs, Amy Orben, Laura Boeschoten et al.
2 citations
Annals of the New York Academy of Sciences
Digital Mental Health Interventions
3.09
article

Digital Data Donation With Adolescents

Sebastian Kurten, Amelia Leyland‐Craggs, Amy Orben, Laura Boeschoten, Kasper Welbers, Amanda M Ferguson, Amira Skeggs, Valerie Yap
article en
2 citations

Abstract

Growing concerns about digital media's impact on adolescent well-being highlight critical limitations in existing research methodologies that rely predominantly on self-reported screen time measures, which inadequately capture the complexity of digital interactions and behavioral patterns. Data donation, where individuals voluntarily share objective social media data, offers a transformative approach, yet its feasibility with adolescents remains underexplored. This study evaluated the feasibility of implementing data donation methodology with adolescent populations to develop practical guidelines for future studies. We conducted a large-scale, 2-week longitudinal trial (N = 358, aged 13-18) alongside focus groups and youth advisory panels, integrating ecological momentary assessment (EMA), validated psychometrics, and data donation from Instagram and TikTok. Results demonstrated strong feasibility across technical, ethical, and engagement dimensions: Overall, 78.9% of participants donated Instagram data, and 65.8% donated TikTok data, with 74% average EMA response rates. Findings indicate substantial willingness to participate in intensive digital behavioral research when appropriate safeguards and youth-centered approaches are implemented. We propose six key recommendations for data donation studies with adolescents: (1) clearly communicating research value, (2) establishing rigorous consent procedures, (3) centering adolescents' voices through co‑design, (4) selecting appropriate platforms, (5) implementing suitable technical frameworks, and (6) building robust multi‑stakeholder recruitment strategies.

Annals of the New York Academy of SciencesVol. 1554(1)
University of Applied Sciences Utrecht (NL), MRC Cognition and Brain Sciences Unit (GB), Utrecht University (NL), University of Cambridge (GB), Vrije Universiteit Amsterdam (NL), Medical Research Council (GB)
Cambridge Trust, Jacobs Foundation, Medical Research Council
Openalex Percentile: Top 7%
Digital Mental Health Interventions
3.09
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