Political Identity, Information Demand and Processing
Presenter
Daniel Kahneman Collegiate Professor of Information
School of Information
University of Michigan
Authors
Kevin Bauer, Yan Chen, Florian Hett and Michael Kosfeld
Abstract
I will present an experiment design aimed to study the extent to which intergroup preferences might affect people’s demand for and processing of information. Using a representative sample of the US population on Prolific, we will measure people’s groupiness and political identity, and ask them to predict future realizations of economic and health indexes conditional on the outcome of the November election. Before they make predictions, they will be asked to indicate their intentions to read a summary of news articles synthesized from left- or right-leaning news media. The main experimental manipulation is whether they see the actual labels of the news sources. We can then measure the accuracy of the predictions a year from the experiment.