Legal Protection for Victims of Love Scam Crimes
Bimantari, N. ; Kusnadi, SA. ; Purwaningtyas, FD. (2023) — Jurnal Ilmu Hukum Wijaya Putra
Type:
Journal Article
Country:
United Kingdom
Synopsis (AI-Generated)
This is normative legal research based on primary, secondary, and tertiary legal materials. It uses statutory and conceptual approaches, reviewing applicable laws and legal doctrines concerning love-scam offences and victim protection in Indonesia. Love scams are defined as online romance fraud in which offenders feign love to obtain personal gain and cause victim losses. The paper describes two scam patterns: soliciting purported business capital and coercing money through threats to distribute intimate images or videos. The study is doctrinal and literature-based: it examines legal materials and regulations rather than collecting victim, offender, police, platform, or court data.
Identified Gaps (AI-Generated)
Indonesia lacks a specific statutory definition or dedicated law governing love scams; the paper identifies this as a legal weakness. It also states that prevention, enforcement, and oversight remain weak, while few victims report cases, contributing to increasing incidence.
Methods (AI-Generated)
This is normative legal research based on primary, secondary, and tertiary legal materials. It uses statutory and conceptual approaches, reviewing applicable laws and legal doctrines concerning love-scam offences and victim protection in Indonesia.
Limitations (AI-Generated)
The study is doctrinal and literature-based: it examines legal materials and regulations rather than collecting victim, offender, police, platform, or court data. Thus, its claims about prevalence, reporting, and implementation are not empirically tested within this study.
Future Work (AI-Generated)
The paper recommends government socialization/education on the dangers and warning signs of love scams, especially for social-media users seeking partners, to improve caution and reduce victimization.
AI-Generated Content Notice
The synopsis and research notes on this page were generated with AI from available publication information and, when available, the uploaded paper text. They may contain errors, omissions, or interpretation issues. Readers should follow the DOI or source link, review the original publication, and make their own judgment about the content.
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