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Document Type

Poster

Publication Date

10-1-2025

Abstract

This research explores how public conversations surrounding Juneteenth have evolved over time by analyzing 10,000 tweets. Through annotation of sentiment, emotion, and topics, the project provides insight into how Juneteenth is celebrated, debated, and understood across diverse cultural and political contexts. The resulting dataset lays the groundwork for a machine learning model capable of identifying large-scale patterns in language, tone, and narrative.

Department

Department of Business Analytics, DePauw University, Greencastle, IN

Project Mentor

Amy Eremionkhale and George Eremionkhale

Funding and Acknowledgements

Asher Grant for Social Science Committee

Analyzing the Evolving Digital Public Dialogue on Juneteenth

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Social Media Commons

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