5 citations · 13 across the 6 of their papers we have counts for
7 papers
BiasTestGPT: Using ChatGPT for Social Bias Testing of Language Models
Rafal Kocielnik, Shrimai Prabhumoye, Vivian Zhang +3
Pretrained Language Models (PLMs) harbor inherent social biases that can result in harmful real-world implications. Such social biases are measured through the probability values t…
Can You Label Less by Using Out-of-Domain Data? Active & Transfer Learning with Few-shot Instructions
Rafal Kocielnik, Sara Kangaslahti, Shrimai Prabhumoye +3
Labeling social-media data for custom dimensions of toxicity and social bias is challenging and labor-intensive. Existing transfer and active learning approaches meant to reduce an…
Fuzzy Forests For Feature Selection in High-Dimensional Survey Data: An Application to the 2020 U.S. Presidential Election
Sreemanti Dey, R. Michael Alvarez
An increasingly common methodological issue in the field of social science is high-dimensional and highly correlated datasets that are unamenable to the traditional deductive frame…
Dynamic Social Media Monitoring for Fast-Evolving Online Discussions
Maya Srikanth, Anqi Liu, Nicholas Adams-Cohen +3
Tracking and collecting fast-evolving online discussions provides vast data for studying social media usage and its role in people's public lives. However, collecting social media…
FREEtree: A Tree-based Approach for High Dimensional Longitudinal Data With Correlated Features
Yuancheng Xu, Athanasse Zafirov, R. Michael Alvarez +3
This paper proposes FREEtree, a tree-based method for high dimensional longitudinal data with correlated features. Popular machine learning approaches, like Random Forests, commonl…
Reliable and Efficient Long-Term Social Media Monitoring
Jian Cao, Nicholas Adams-Cohen, R. Michael Alvarez
Social media data is now widely used by many academic researchers. However, long-term social media data collection projects, which most typically involve collecting data from publi…
Finding Social Media Trolls: Dynamic Keyword Selection Methods for Rapidly-Evolving Online Debates
Anqi Liu, Maya Srikanth, Nicholas Adams-Cohen +2
Online harassment is a significant social problem. Prevention of online harassment requires rapid detection of harassing, offensive, and negative social media posts. In this paper,…