activity
20152026
most citedMitigating Gender Bias in Natural Language Processing: Literature Review

42 citations · 130 across the 9 of their papers we have counts for

collaborators

12 papers

cs.CL2026

Extracting Persona Subspaces Through Iterative Nullspace Projection For Modulation

Ananya Malik, Mai ElSherief

Large Language Models (LLMs) can adopt distinct personas to tune their semantics, expertise, and perspective to different users and tasks. Precise control over these traits is crit…

cs.CL2021★ 3 cited

Latent Hatred: A Benchmark for Understanding Implicit Hate Speech

Mai ElSherief, Caleb Ziems, David Muchlinski +4

Hate speech has grown significantly on social media, causing serious consequences for victims of all demographics. Despite much attention being paid to characterize and detect disc…

cs.CL2021★ 6 cited

Lifelong Learning of Hate Speech Classification on Social Media

Jing Qian, Hong Wang, Mai ElSherief +1

Existing work on automated hate speech classification assumes that the dataset is fixed and the classes are pre-defined. However, the amount of data in social media increases every…

cs.SI2020

Measuring and Characterizing Hate Speech on News Websites

Savvas Zannettou, Mai ElSherief, Elizabeth Belding +2

The Web has become the main source for news acquisition. At the same time, news discussion has become more social: users can post comments on news articles or discuss news articles…

cs.LG2019

Towards Understanding Gender Bias in Relation Extraction

Andrew Gaut, Tony Sun, Shirlyn Tang +8

Recent developments in Neural Relation Extraction (NRE) have made significant strides towards Automated Knowledge Base Construction (AKBC). While much attention has been dedicated…

cs.CL2019★ 42 cited

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…

cs.CL2019

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…

cs.CL2018★ 5 cited

Hierarchical CVAE for Fine-Grained Hate Speech Classification

Jing Qian, Mai ElSherief, Elizabeth Belding +1

Existing work on automated hate speech detection typically focuses on binary classification or on differentiating among a small set of categories. In this paper, we propose a novel…

cs.SI2018★ 26 cited

Peer to Peer Hate: Hate Speech Instigators and Their Targets

Mai ElSherief, Shirin Nilizadeh, Dana Nguyen +2

While social media has become an empowering agent to individual voices and freedom of expression, it also facilitates anti-social behaviors including online harassment, cyberbullyi…

cs.CL2018★ 39 cited

Hate Lingo: A Target-based Linguistic Analysis of Hate Speech in Social Media

Mai ElSherief, Vivek Kulkarni, Dana Nguyen +2

While social media empowers freedom of expression and individual voices, it also enables anti-social behavior, online harassment, cyberbullying, and hate speech. In this paper, we…

cs.CL2018★ 7 cited

Leveraging Intra-User and Inter-User Representation Learning for Automated Hate Speech Detection

Jing Qian, Mai ElSherief, Elizabeth M. Belding +1

Hate speech detection is a critical, yet challenging problem in Natural Language Processing (NLP). Despite the existence of numerous studies dedicated to the development of NLP hat…

cs.NI2015★ 2 cited

An Information-theoretic Model for Knowledge Sharing in Opportunistic Social Networks

Mai ElSherief, Tamer ElBatt, Ahmed Zahran +1

In this paper we establish fundamental limits on the performance of knowledge sharing in opportunistic social net- works. In particular, we introduce a novel information-theoretic…