From:
NBC News reporter Rob Wile covered a new Columbia Business School study co-authored by Professor Yash Kanoria that uncovers widespread artificially inflated activity on major prediction market sites such as Google-backed platforms, Kalshi, and Polymarket. The research—Network-Based Detection of Wash Trading—demonstrates how certain users manipulate trading volume to simulate market interest, potentially misleading participants and distorting true predictive signals. Kanoria and his co-authors explain how network analytics can identify these patterns and help platforms implement safeguards to ensure transparency and integrity in online prediction markets.
