Toward Integrated Solutions: A Systematic Interdisciplinary Review of Cybergrooming Research
Fuente:
arXiv
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| Autores principales: | , , , , , , , , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866912512531759104 |
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| author | An, Heajun Silva, Marcos Zhang, Qi Singh, Arav Liu, Minqian Zhang, Xinyi Qadir, Sarvech Lee, Sang Won Huang, Lifu Wisniewski, Pamela J. Cho, Jin-Hee |
| author_facet | An, Heajun Silva, Marcos Zhang, Qi Singh, Arav Liu, Minqian Zhang, Xinyi Qadir, Sarvech Lee, Sang Won Huang, Lifu Wisniewski, Pamela J. Cho, Jin-Hee |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_05727 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Toward Integrated Solutions: A Systematic Interdisciplinary Review of Cybergrooming Research An, Heajun Silva, Marcos Zhang, Qi Singh, Arav Liu, Minqian Zhang, Xinyi Qadir, Sarvech Lee, Sang Won Huang, Lifu Wisniewski, Pamela J. Cho, Jin-Hee Computers and Society Cryptography and Security 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. |
| title | Toward Integrated Solutions: A Systematic Interdisciplinary Review of Cybergrooming Research |
| topic | Computers and Society Cryptography and Security |
| url | https://arxiv.org/abs/2503.05727 |