Love and Hate Across the US Political Spectrum

Date of Award

Summer 8-11-2023

Document Type

Applied Project

Degree Name

Master of Science in Research Psychology (MS)




Brittany M. Tausen, PhD

Second Reader

Jenny Lee Vaydich, PhD


Twitter is a vast source of qualitative and quantitative data on human interaction. This proposed study examines group identity strength (GIS), measured as how strongly one identifies with a group, as a factor of positive and negative partisanship in the US by observing tweets and follower interactions. The top 10 words collocated with “love” and “hate” will be analyzed for each level of GIS for liberals and conservatives. Expected findings are that those with stronger GIS will display more in-group favoritism than out-group animosity, and that the top collocates of love and hate will be different for liberals and conservatives.

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