Research description:
This project offers a hands-on opportunity for an undergraduate student to contribute to an innovative computational social science project examining how popular ideas about love and relationships—such as “love languages,” “soulmates,” and “chemistry”—circulate across digital communities.
The SUDS Scholar will work with Dr. Impett in the Relationships and Well-Being Lab www.emilyimpett.com. The student will help collect and analyze publicly available Reddit data using Communalytic, a no-code platform for social network and text analysis. Under close mentorship, the student will learn how to clean and prepare large-scale social media datasets, conduct basic topic modeling and network mapping, and assist in interpreting visualizations that reveal how popular ideas about relationships spread online. The project bridges psychology and data science, providing training in computational social science methods. The student will also gain experience in open science practices, including reproducible workflows and accessible research communication. This opportunity will suit students interested in social psychology, relationships, data science, or digital culture, and will provide valuable skills for future graduate study in psychology or computational social science.
The SUDS Scholar will work with Dr. Impett in the Relationships and Well-Being Lab www.emilyimpett.com. The student will help collect and analyze publicly available Reddit data using Communalytic, a no-code platform for social network and text analysis. Under close mentorship, the student will learn how to clean and prepare large-scale social media datasets, conduct basic topic modeling and network mapping, and assist in interpreting visualizations that reveal how popular ideas about relationships spread online. The project bridges psychology and data science, providing training in computational social science methods. The student will also gain experience in open science practices, including reproducible workflows and accessible research communication. This opportunity will suit students interested in social psychology, relationships, data science, or digital culture, and will provide valuable skills for future graduate study in psychology or computational social science.
Year: 2026
Researcher: Emily Impett, University of Toronto, University of Toronto Mississauga, Department of Psychology
Student:
Luxi Wang, University of Toronto
Through SUDS, undergraduate students engage in hands-on research focused on data sciences and AI methodology applications.