Find the studies, inspect the evidence, understand what is known, and see the questions that still need answers.
We do not host documents. All items link to publisher or repository pages.
AI helps RSRC organize and summarize research. Outputs may contain errors; verify findings in the linked original source.
Read the AI methodologySearch approved publications by title, author, DOI, topic, year, or research method.
Search publicationsRead living syntheses that connect findings across publications and identify uncertainties and research gaps.
Explore Research InsightsRSRC does not accept individual scam reports or provide direct support. Our curated list points to official reporting and support services.
Find reporting and support resourcesResearch Insights
Read explanations of the findings, follow their sources, and see where the evidence is still limited.
Explore questions in Research InsightsRomance scammers turn trust into money requests through emergencies or supposed investments. Some reported cases in India also involved physical encounters and coercion. These studies do not establish how common each pathway is or whether explaining the tactics prevents losses.
Participants rated a romance-scam learning tool favorably, and monitored transfers decreased after warning letters. These findings show how people rated a tool and how payments changed after contact—not that either approach prevented financial loss.
Library
Individual studies and reports recently added to the approved collection.
View 1
This publication provides a source-grounded synthesis of romance fraud in India, focusing on how online dating interactions transition into offline encounters. The authors aim to understand the cross-contextual nature of...
View publication recordThis publication presents a synthetic, human-reviewed corpus of romance-scam and genuine conversations intended for scam-detection and online-safety research. The dataset comprises 404 dialogues, evenly split with 202 sc...
View publication recordThe publication presents a synthetic dialogue dataset designed to support romance scam detection research. It describes 1,000 conversations generated with two paired personas per scenario: scam (Marcus and Sarah) and leg...
View publication recordThis publication provides a neutral synthesis of four research papers in the 2026 issue of the International Journal of Cybersecurity Intelligence and Cybercrime, focusing on contemporary cyber scam typologies and defens...
View publication recordThis publication presents a blockchain-forensics case study of a sanctions-linked pig-butchering network, focusing on 29 Bitcoin addresses designated by OFAC as tied to the Prince Group and Chen Zhi. The authors frame th...
View publication recordThe publication provides a neutral, source-grounded synthesis of the hyperpersonal model of computer-mediated communication (CMC) as it stands 25 years after its original articulation. It describes the model as a framewo...
View publication recordThe study aims to validate a human‑supervised triage approach for pig butchering complaints by testing whether multi‑model identifier extraction can recover triage‑relevant forensic identifiers from public complaints. It...
View publication recordAbout RSRC
Founded by LD Herrera, PhD, RSRC organizes romance scam scholarship into a searchable public library and living evidence syntheses for researchers, policymakers, practitioners, and the public.
Learn about RSRC and its founder