13 citations · 22 across the 4 of their papers we have counts for
4 papers
Challenging Negative Gender Stereotypes: A Study on the Effectiveness of Automated Counter-Stereotypes
Isar Nejadgholi, Kathleen C. Fraser, Anna Kerkhof +1
Gender stereotypes are pervasive beliefs about individuals based on their gender that play a significant role in shaping societal attitudes, behaviours, and even opportunities. Rec…
Examining Gender and Racial Bias in Large Vision-Language Models Using a Novel Dataset of Parallel Images
Kathleen C. Fraser, Svetlana Kiritchenko
Following on recent advances in large language models (LLMs) and subsequent chat models, a new wave of large vision-language models (LVLMs) has emerged. Such models can incorporate…
A Friendly Face: Do Text-to-Image Systems Rely on Stereotypes when the Input is Under-Specified?
Kathleen C. Fraser, Svetlana Kiritchenko, Isar Nejadgholi
As text-to-image systems continue to grow in popularity with the general public, questions have arisen about bias and diversity in the generated images. Here, we investigate proper…
SemEval-2017 Task 4: Sentiment Analysis in Twitter
Sara Rosenthal, Noura Farra, Preslav Nakov
This paper describes the fifth year of the Sentiment Analysis in Twitter task. SemEval-2017 Task 4 continues with a rerun of the subtasks of SemEval-2016 Task 4, which include iden…