The session "Cultural Blind Spots: The Hidden Factor in Fraud Prevention" at Quirks LA 2025 highlighted the often-overlooked role of cultural nuances in fraud detection. Leib Litman from CloudResearch and Gene Saykin at Toluna explored how standard fraud prevention measures can unintentionally introduce bias and reduce data quality when cultural differences are not considered. Real-world data and case studies demonstrated the trade-offs between detection efficiency and effectiveness.
Introducing Waves: A Better Way to Conduct Longitudinal and Daily Diary Studies on Connect Perhaps the greatest advantage of online research is that it gives behavioral scientists access to people and data. When online research was new, researchers thought access...
Connect Pricing Changes For 2025 Starting January 1, 2025, the standard service fee on Connect increased to 40%. This adjustment supports our ongoing investment in delivering the industry’s most advanced research platform, while maintaining our steadfast commitment to academic and...
videocam CBS News Coverage article View Full Engage® Report In a dramatic premeditated killing that took place in the middle of the busiest city in American during daylight hours, Luigi Mangione murdered UnitedHealthcare CEO Brian Thompson and then escaped –...
CloudResearch conducted a postelection analysis of why people voted for Trump using AI-interviews with Engage. The research reveals why Trump achieved a decisive win in the 2024 election, exploring how specific demographics, including Black, Latino, young, and Independent voters, aligned with Trump over Harris.
People interact with recommendation algorithms daily, whether on social media, music streaming platforms, or shopping websites. Understanding how these interactions shape future recommendations is crucial for both users and platform designers. Researchers have long assumed that user behavior is a direct response to the content recommended. However, our new study, using Connect participants, challenges this assumption by demonstrating that users actively strategize to influence the recommendations they receive.
