Past Session
Monday, December 5, 2022
17:30h
Presented by
Gloria Gennaro (UCL)
http://gloriagennaro.rbind.io/

Immigration and Social Distance: Evidence from Newspapers during the Age of Mass Migration

Abstract

By Alessandra Stampi-Bombelli, Gloria Gennaro, Elliott Ash, Dominik Hangartner A constant of human history is the migration of peoples in search of a better future. In destination countries, these new arrivals come into contact with both the host population as well as already established immigrant communities. How does the arrival of new immigrants affect the perception of outgroup distance among the native majority group? And do new arrivals also change the perceived distance between the host population and existing immigrant groups? We address these questions in the context of the Age of Mass Migration (1860-1920), a period during which sizeable and diverse groups of migrants arrived on U.S. shores. Applying advanced computational linguistics techniques to a newly processed corpus of over 1.8 million newspaper issues (9 million pages) published by 3,675 local outlets in that period, we present a novel text-based measure of perceived socio-cultural distance between U.S.-born natives and 32 immigrant groups. For each mention of an immigrant group, we compute a distance measure that captures whether the group's framing more closely resembles contexts used when portraying immigrants, rather than natives. We use this time- and county-varying outcome to analyse the short- and medium-term effects of immigration inflows on local perceptions of socio-cultural distance toward the arriving and existing immigrant groups.

About this workshop

The Political Economy + AI seminar is an online seminar focused on political economy research using AI and computational methods. We welcome work in progress and methods talks on these topics.

Formerly the Public Governance working group, the seminar is organized jointly by King's College London and Université Paris-Dauphine – PSL.

Periodicity: Mondays from 17h30 to 18h30 (Paris time).