32 citations · 95 across the 20 of their papers we have counts for
4 papers · 1 filter
User Acceptance of Gender Stereotypes in Automated Career Recommendations
Clarice Wang, Kathryn Wang, Andrew Bian +4
Currently, there is a surge of interest in fair Artificial Intelligence (AI) and Machine Learning (ML) research which aims to mitigate discriminatory bias in AI algorithms, e.g. al…
Learning User Embeddings from Temporal Social Media Data: A Survey
Fatema Hasan, Kevin S. Xu, James R. Foulds +1
User-generated data on social media contain rich information about who we are, what we like and how we make decisions. In this paper, we survey representative work on learning a co…
Analyzing COVID-19 Tweets with Transformer-based Language Models
Philip Feldman, Sim Tiwari, Charissa S. L. Cheah +2
This paper describes a method for using Transformer-based Language Models (TLMs) to understand public opinion from social media posts. In this approach, we train a set of GPT model…
Fair Representation Learning for Heterogeneous Information Networks
Ziqian Zeng, Rashidul Islam, Kamrun Naher Keya +3
Recently, much attention has been paid to the societal impact of AI, especially concerns regarding its fairness. A growing body of research has identified unfair AI systems and pro…