The analysis of textual data using machine learning methods is a new and promising approach to studying the economic behavior of humans and the deliberation processes behind their decisions. The written and spoken communication analysis can be informative about the relationship between communication and cooperation, honesty and lying, the narratives people use to explain their behavior, how they form beliefs and many other topics. 

This workshop aims to bring together researchers interested in text mining and its application to behavioral economics and highlight how fruitful the emerging synergies between natural language processing techniques and behavioral economics are. We encourage contributions from economics and related disciplines such as psychology, political science, sociology, management, law, and computer science.

For additional information, don't hesitate to contact us at text-as-data [at] uni-potsdam.de.