Research experience

Artificial Intelligence and The Florida Alligator

The Project

Description

University newspapers offer unmediated insight into student life and the twentieth century United States. The University of Florida Digital Collections contains over ten thousand editions of UF’s student-run newspaper, The Florida Alligator and The Independent Florida Alligator. These digitized collections provide an opportunity for a digital humanities intervention, employing the historian’s “macroscope” to distill over a century of student newspapers into quantitative trends useful for exploratory research and on its own terms.

Project Responsibilities

Responsibilities in this project include creating the python code, working with the BERT language model, conducting a literature review, and writing analysis.

Principal Investigator

Dr. Seth Bernstein

Affiliation

University of Florida History Department

Project Involvement

Summer 2024 – Present

Project Awards

This project was funded by the Artificial Intelligence Scholars Program at the University of Florida, which is awarded to full-time undergraduate students to conduct artificial intelligence-related research one-on-one with UF faculty on selected projects.

Award amount of $1,750, faculty award of $500 given to Dr. Seth Bernstein.

Recognized at the Spring 2024 History Honors Conference.

Previous Relevant Work

Text Mining The Florida Alligator

Led a group project for HIS3931: Digital Methods in History dedicated to word counting the corpus of The Florida Alligator
Combined with research into the historiography of social change at universities to assert a thesis of student-driven salience
Currently expanding into a history AI-related project involving BERT, sentiment analysis, and word similarity

A Digital Approach to Black Antebellum Newspaper Heterogeneity

Created an AI-related capstone paper for AMH4930: History Research Seminar, Black Abolitionism
Incorporated existing literature and critical interventions into digital history to examine three Black antebellum newspapers
Employed the large language model BERT to examine word similarity among Black antebellum newspapers.
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