This article provides an overview of the methods used for algorithmic text analysis in
economics, with a focus on three key contributions. First, we introduce methods for …

Social scientists are now in an era of data abundance, and machine learning tools are
increasingly used to extract meaning from data sets both massive and small. We explain …

From Nobel Prize–winning economist and New York Times bestselling author Robert
Shiller, a groundbreaking account of how stories help drive economic events—and why …

Affective polarization has become a defining feature of twenty-first-century US politics, but
we do not know how it relates to citizens' policy opinions. Answering this question has …

An ever-increasing share of human interaction, communication, and culture is recorded as
digital text. We provide an introduction to the use of text as an input to economic research …

Has rising import competition contributed to the polarization of US politics? Analyzing
multiple measures of political expression and results of congressional and presidential …

This address considers the epidemiology of narratives relevant to economic fluctuations.
The human brain has always been highly tuned toward narratives, whether factual or not, to …

The winners of the Nobel Prize show how economics, when done right, can help us solve
the thorniest social and political problems of our day. Figuring out how to deal with today's …

Cues sent by political elites are known to influence public attitudes and behavior.
Polarization in elite rhetoric may hinder effective responses to public health crises, when …

We create a culture dictionary using one of the latest machine learning techniques—the
word embedding model—and 209,480 earnings call transcripts. We score the five corporate …