The Logit Group: Beyond Bots - The New Fraud Patterns Undermining Research Data

Research fraud is becoming more sophisticated, and many of the signals are no longer obvious. Bad actors can appear human, provide believable answers, and pass traditional quality checks while still compromising the integrity of a study. In this session, Steve Male will examine the different types of fraud and poor-quality behaviour being identified across online research, using real-world patterns observed through Calibr8. The discussion will explore issues such as identity manipulation, location masking, AI-generated responses, inconsistent behaviour, low engagement, and respondents who look legitimate when evaluated through only a single quality signal. Attendees will learn why fraud detection requires a layered approach, how different indicators work together, and what research teams should consider when designing a modern data-integrity strategy.