42 citations · 42 across the 2 of their papers we have counts for
5 papers
A Benchmark Dataset for Learning to Intervene in Online Hate Speech
Jing Qian, Anna Bethke, Yinyin Liu +2
Countering online hate speech is a critical yet challenging task, but one which can be aided by the use of Natural Language Processing (NLP) techniques. Previous research has prima…
Mitigating Gender Bias in Natural Language Processing: Literature Review
Tony Sun, Andrew Gaut, Shirlyn Tang +7
As Natural Language Processing (NLP) and Machine Learning (ML) tools rise in popularity, it becomes increasingly vital to recognize the role they play in shaping societal biases an…
Learning to Decipher Hate Symbols
Jing Qian, Mai ElSherief, Elizabeth Belding +1
Existing computational models to understand hate speech typically frame the problem as a simple classification task, bypassing the understanding of hate symbols (e.g., 14 words, ki…
SafeRoute: Learning to Navigate Streets Safely in an Urban Environment
Sharon Levy, Wenhan Xiong, Elizabeth Belding +1
Recent studies show that 85% of women have changed their traveled route to avoid harassment and assault. Despite this, current mapping tools do not empower users with information t…
A Rural Lens on a Research Agenda for Intelligent Infrastructure
Ellen Zegura, Beki Grinter, Elizabeth Belding +1
A National Agenda for Intelligent Infrastructure is not complete without explicit consideration of the needs of rural communities. While the American population has urbanized, the…