Search Results for author:
Found 3 papers, 1 papers with code
Quantifying How Hateful Communities Radicalize Online Users
In this paper, we measure the impact of joining fringe hateful communities in terms of hate speech propagated to the rest of the social network.
Bias and Fairness on Multimodal Emotion Detection Algorithms
Numerous studies have shown that machine learning algorithms can latch onto protected attributes such as race and gender and generate predictions that systematically discriminate against one or more groups.
Detecting Anti-Vaccine Users on Twitter
The goal of this study is to better understand anti-vaccine sentiment by developing a system capable of automatically identifying the users responsible for spreading anti-vaccine narratives.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
