Correcting Anchoring Bias Publications Journal of Social Computing 2026 Research Summary Anchoring bias is widely regarded as a fundamental limitation of human judgment, leading individuals to place disproportionate weight on arbitrary initial information. Through a series of controlled experiments, this project examines how structured information-sharing networks influence the spread and correction of biased beliefs. The findings show that social learning within appropriately designed networks can substantially reduce anchoring bias, enabling groups to arrive at more accurate judgments than isolated individuals. The research offers new evidence that network structure can transform social influence from a source of error into a mechanism for improving collective intelligence and decision-making. Complete Experimental Data Complete Dataset Funding Research on this project was supported by PerBak Capital Partners, The John Templeton Foundation (No. 62221), and The Robert Wood Johnson Foundation (No. 77809). The content is solely the responsibility of the authors and does not necessarily represent the official views of its sponsors.
Publications Journal of Social Computing 2026 Research Summary Anchoring bias is widely regarded as a fundamental limitation of human judgment, leading individuals to place disproportionate weight on arbitrary initial information. Through a series of controlled experiments, this project examines how structured information-sharing networks influence the spread and correction of biased beliefs. The findings show that social learning within appropriately designed networks can substantially reduce anchoring bias, enabling groups to arrive at more accurate judgments than isolated individuals. The research offers new evidence that network structure can transform social influence from a source of error into a mechanism for improving collective intelligence and decision-making.
