Stockholm university
Digital Human Sciences

Mapping texts: Computational Text Analysis for the Social Sciences

Workshop

Date: Monday 17 November 2025

Time: 14.00 – 17.00

Location: Kungstenen (Aula Magna)

The workshop will provide a practical and accessible introduction to computational methods for analyzing textual data aimed at social scientists with little to no experience working with this type of data or programming.

Photo: Unsplash/ Mohamed Marey

Following a step-by-step guide for conducting text analysis with real data (you can bring your own or use datasets made available) using special tools in R, you will learn how to simplify complex or chaotic information toward clear interpretations of data while offering critical assessments of how these methods can be used to reveal different patterns and relationships. This is a HumInfra event. 

The 2024 book Mapping Texts: Computational Text Analysis for the Social Sciences. (Oxford University Press) written together with Dustin Stoltz is the basis of the workshop.

See the book online

 

About Marshall Taylor

Marshall Taylor is an associate professor of sociology at New Mexico State University, where he also is the lead of the Data Science and Application Center and PI of the C3 Lab. Hi is a 2025 SweCSS Visiting Senior Fellow with the Institute for Analytical Sociology and Department of Computer and Information Science at Linköping University in Linköping, Sweden.

His research focuses on questions of cognition and measurement in the sociology of culture. Specifically, the study of cultural knowledge—when, where, and why it is stable, changes, or is structured differently between populations, and how to best measure cultural knowledge in natural language and survey data using computational methods. Examples of this include how journalists respond to innovative protest strategies, the evolution of family metaphors in U.S. State of the Union addresses, the relationship between self-personalization and online negativity for female U.S. congressional candidates, the different moral schemas that consumers use to evaluate the fairness of price changes, how gender biases manifest discursively in student evaluations of teaching, and why and when white nationalist organizations divert attention to the grievances that they do.

Register to the workshop

 

Theme
Digitalization and AI - Theme page

Last updated: November 3, 2025

Source: Digital Human Sciences

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