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computational social science | NLP | time series analysis | algorithmic fairness

About me

I’m a PhD student at the University of Vermont Complex Systems Center in the Computational Story Lab.

I research topics related to social media analysis, the narrative capacity of social movememts, and data ethics.

Projects with the story lab team include StoryWrangler, Hedonometer, and POTUSometer.

Selected publications

• Ratioing the President: An exploration of public engagement with Obama and Trump on Twitter Minot JR, Arnold MV, Alshaabi T, Danforth CM, Dodds PS. (2021) PLOS ONE

• Storywrangler: A massive exploratorium for sociolinguistic, cultural, socioeconomic, and political timelines using Twitter Alshaabi T, Adams JL, Arnold MV, Minot JR, Dewhurst DR, Reagan AJ, Danforth CM, Dodds PS. (2021) Science advances

• Interpretable bias mitigation for textual data: Reducing gender bias in patient notes while maintaining classification performance Minot JR, Cheney N, Maier M, Elbers DC, Danforth CM, Dodds PS. (2022) ACM Healthcare

• Distinguishing in-groups and onlookers by language use Minot JR, Trujillo TZ, Rosenblatt SF, de Anda J'auregui G, Samson BPV, Moog E, Dufresne LH, and Roth A. Proceedings of the Twelfth Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (at ACL 2022). Winner of best paper 🎉

Blog posts

• Fuzzy geocoding of Twitter bios
• Trump and Biden sentiment

“Our database is a house of shards”