Re-imagining Virtual Communities: Ethical Guidelines for Studying Black Twitter
Christina Chance, Kai-Wei Chang
AIES 2025
[PDF]
ModelCitizens: Representing Community Voices in Online Safety
Ashima Suvarna, Christina Chance, Karolina Naranjo, Hamid Palangi, Sophie Hao, Thomas Hartvigsen, Saadia Gabriel
EMNLP 2025
[PDF]
Will the Prince Get True Love’s Kiss? On the Model Sensitivity to Gender Perturbation over Fairytale Texts
Christina Chance, Da Yin, Dakuo Wang, Kai-Wei Chang
TrustNLP @ NAACL 2025
[PDF]
Survey of bias in text-to-image generation: Definition, evaluation, and mitigation
Yixin Wan, Arjun Subramonian, Anaelia Ovalle, Zongyu Lin, Ashima Suvarna, Christina Chance, Hritik Bansal, Rebecca Pattichis, Kai-Wei Chang
Arxiv
[PDF]
Leveraging Large Language Models and Topic Modeling for Toxicity Classification
Haniyeh Ehsani Oskouie, Christina Chance, Claire Huang, Margaret Capetz, Elizabeth Eyeson, Majid Sarrafzadeh
ICNC 2025
[PDF]
An Analysis of Large Language Models for African American English Speaking Children’s Oral Language Assessment
Alexander Johnson, Christina Chance, Kaycee Stiemke, Hariram Veeramani, Natarajan Balaji Shankar, Abeer Alwan
Journal of Black Excellence in Engineering, Science, & Technology, Volume 1
[PDF]
CORAAL QA: A Dataset and Framework for Open Domain Spontaneous Speech Question Answering from Long Audio Files
Natarajan Balaji Shankar, Alexander Johnson, Christina Chance, Hariram Veeramani, Abeer Alwan
ICASSP 2024
[PDF]
Leveraging Language Models to Detect Greenwashing
Avalon Vinella*, Margaret Capetz*, Rebecca Pattichis*, Christina Chance*, Reshmi Ghosh
Arxiv
[PDF]
Zoom Audio Transcription Accuracy for African American Vernacular English
Christina Chance, Dorian Arnold
Honor's Thesis (High Honors)
[PDF]
Cohort member of the 2025 AIM-AHEAD & NCATS Health Data Science Training Program, where my team’s project, Artificial Intelligence Approaches to Clinical Prediction of 60-Day Mortality in Respiratory Infection (RI) with Smoking History: A Retrospective Cohort Study, received the Top Oral Presentation – Instructor’s Choice Award.