Scholar
Nicholas Deas
Google Scholar ID: hwiDX74AAAAJ
Computer Science PhD Candidate, Columbia University
Citations & Impact
Citations
147
H-index
6
i10-index
3
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Publications:
- - Summarization of Opinionated Political Documents with Varied Perpsectives
- - MASIVE: Open-Ended Affective State Identification in English and Spanish
- - PhonATe: Impact of Type-written Phonological Features of African American Language on Generative Language Modeling Tasks
- - How Negativity and Policy Content Drive the Spread of Political Messages
- - Evaluation of African American Language Bias in Natural Language Generation
- - I just want to matter: Examining the role of anti-mattering in online suicide support communities using natural language processing
- - Protection Motivation Theory and intentions to receive the COVID-19 vaccine.
- - Partisan Differences in Politicians’ Rhetoric about COVID-19, and Why These Messages Spread Online.
Research Experience
- Research Directions:
- - Linguistic Biases in LLMs
- - Modeling Social Psychology
- - Political Perspectives and Polarization
Education
- Degree: PhD in Computer Science
- University: Columbia University
- Advisor: Professor Kathleen McKeown
- Year: Third year
- Major: Computer Science
Background
- Third-year Computer Science PhD student in Columbia University's Natural Language Text Processing Lab. Research interests broadly lie at the intersection of Natural Language Processing, linguistics, and the social sciences working toward improved modeling and understanding of human attitudes as well developing tools to aid in social science research.
Miscellany
- Email: ndeas AT cs DOT columbia DOT edu
- Office: Schapiro CEPSR 7LW1
Co-authors