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 Public Governance workshop is an online seminar series focused on state of art research in political economy that uses non-traditional data and data-intensive methods.
The workshop gives a platform for the research on the role of governance in designing and developing better policies. Key features are the political environment, the role of the media, the engagement of stakeholders such as civil society and firms, the market structure and level of competition, and the independence of public regulators, among others. Particular emphasis is placed on research with NLP methods due to the proven usefulness of transforming text into data for further econometric analysis.
Periodicity: Mondays from 17h30 to 19h.