Scammers can use AI-generated identities to make deception harder to check, while investigators use software to flag suspicious material. But the studies reviewed here do not establish that these tools reduce victims’ losses, and how widely scammers use generative AI remains unknown.
Platforms can remove scam accounts, researchers can trace transactions, and police can pursue offenders across borders. But removing a profile, identifying a money trail, and securing a conviction are different achievements. The research reviewed here documents enforcement activity without establishing which responses reliably reduce romance-scam 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.
People targeted by romance scams may fear judgment or struggle to find an agency that will listen. Research explains these obstacles, but it does not establish how often all victims report or which reporting and support changes prevent further harm.
People deceived by a supposed romantic partner can lose money, a valued relationship, and a sense of safety. Some experience serious distress without losing money. Research documents these harms, but it does not establish how often each occurs across all victims.
Scammers can exploit a person’s need for connection, tailor their attention, and make a fraudulent relationship difficult to leave. Research links several emotional and personality characteristics with victimization, but it does not establish a reliable checklist for identifying who will be deceived.
Scammers can make sending money feel like caring for a partner or building a future together. Grooming means developing closeness that can later be exploited for money. Studies describe this process, but limited direct investigation leaves uncertainty about which tactics lead people to agree to requests or send money.
Romance 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.
Women and middle-aged adults appear frequently in studied romance-scam reports, but other samples contain many men and younger adults. The evidence does not establish a single victim profile: which scam researchers count, who reports it, and whether they measure contact or financial loss all change the picture.
Romance-scam survivors describe persistent distress and lost trust; broader cyberscam research also describes practical needs, such as help contacting banks and police. Supportive conversations and peer contact can feel helpful, but the research reviewed here does not establish which services produce lasting recovery.