This study investigates factors that predict the ability to identify online romance scams, focusing on personality traits, belief systems, domain expertise, and response speed. In an online experiment, 261 participants were asked to judge whether a given profile represented a scam or was genuine. Beyond the labeling task, participants completed a set of assessments that captured their personality characteristics and belief orientations, and they answered demographic and descriptive questions. Response latency was recorded to capture how quickly participants made their judgments. The combined data were used to assess which individual differences and behavioral measures best distinguish fraudulent profiles from legitimate ones and to explore how these indicators relate to detection accuracy in a realistic online evaluation context. Results indicated that certain combinations of traits and experiences predicted greater accuracy in identifying scams. Specifically, lower scores on romantic belief scales, higher levels of impulsivity, and greater consideration of future consequences were associated with improved discrimination between fake and real profiles. Prior exposure to a romance scam also emerged as a positive predictor, as did longer response times during the evaluation task. Despite these associations, the overarching finding was that detecting romance scams remains a challenging task, with accuracy limited by the subtlety of scam cues and the variability of profiles.