Research
Below is an overview of the technical areas currently being researched by the Minds, Machines, and Society group:
Natural Language Processing & Machine Learning
Our work on natural language processing and machine learning includes:- Developing interpretability methods for Large Language Models
- Guided natural language generation using Large Language Models
- Detecting and mitigating antisocial tendencies of Large Language Models, such as bias and lack of alignment with human moral values
- Using Transformer-based models
- Understanding, modeling, and transferring style in text
- Exploring prompt-based and few-shot learning
Social Media Analytics, Computational Social Science, and Graphs
Our work in social media analytics, computational social science, and graphs includes:- Extracting information from noisy user-generated text
- Modeling user behavior (e.g., behavioral modeling, demographic/psychometric classification, etc.)
- Modeling malicious behavior (e.g., influence campaigns, propaganda, etc.)
- Modeling information diffusion in networks
- Using representation learning on graphs