21 citations · 24 across the 5 of their papers we have counts for
5 papers
Revisiting gender bias research in bibliometrics: Standardizing methodological variability using Scholarly Data Analysis (SoDA) Cards
HaeJin Lee, Shubhanshu Mishra, Apratim Mishra +3
Gender biases in scholarly metrics remain a persistent concern, despite numerous bibliometric studies exploring their presence and absence across productivity, impact, acknowledgme…
Beyond Binary Gender Labels: Revealing Gender Biases in LLMs through Gender-Neutral Name Predictions
Zhiwen You, HaeJin Lee, Shubhanshu Mishra +4
Name-based gender prediction has traditionally categorized individuals as either female or male based on their names, using a binary classification system. That binary approach can…
Exploring multi-task multi-lingual learning of transformer models for hate speech and offensive speech identification in social media
Sudhanshu Mishra, Shivangi Prasad, Shubhanshu Mishra
Hate Speech has become a major content moderation issue for online social media platforms. Given the volume and velocity of online content production, it is impossible to manually…
A Framework for Generating Annotated Social Media Corpora with Demographics, Stance, Civility, and Topicality
Shubhanshu Mishra, Daniel Collier
In this paper we introduce a framework for annotating a social media text corpora for various categories. Since, social media data is generated via individuals, it is important to…
Assessing Demographic Bias in Named Entity Recognition
Shubhanshu Mishra, Sijun He, Luca Belli
Named Entity Recognition (NER) is often the first step towards automated Knowledge Base (KB) generation from raw text. In this work, we assess the bias in various Named Entity Reco…