What type of study is this?

This is a Systematic Review study.

October 9, 2025Open Access

Toward Integrated Solutions: A Systematic Interdisciplinary Review of Cybergrooming Research

HAHuaming AnKunming University of Science and Technology MBM. BétempsInstituto Federal Sul-rio-grandense QZQi ZhangShanghai Medical College of Fudan University

Key Points

Findings highlight that integrating disciplines can improve strategies against cybergrooming, enhancing effectiveness.
Qualitative methods reveal deep insights into behaviors, while machine learning solutions depend on data quality.
The review applies the PRISMA framework for clearer and reproducible outcomes across interdisciplinary fields.
Bridging gaps between behavioral and computational approaches provides a pathway for improved detection methods.

Abstract

Cybergrooming exploits minors through online trust-building, yet research remains fragmented, limiting holistic prevention. Social sciences focus on behavioral insights, while computational methods emphasize detection, but their integration remains insufficient. This review systematically synthesizes both fields using the PRISMA framework to enhance clarity, reproducibility, and cross-disciplinary collaboration. Findings show that qualitative methods offer deep insights but are resource-intensive, machine learning models depend on data quality, and standard metrics struggle with imbalance and cultural nuances. By bridging these gaps, this review advances interdisciplinary cybergrooming research, guiding future efforts toward more effective prevention and detection strategies.

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