1 citations · 2 across the 4 of their papers we have counts for
5 papers
Two-Stage Stance Labeling: User-Hashtag Heuristics with Graph Neural Networks
Joshua Melton, Shannon Reid, Gabriel Terejanu +1
The high volume and rapid evolution of content on social media present major challenges for studying the stance of social media users. In this work, we develop a two stage stance l…
Quantifying Influencer Impact on Affective Polarization
Rezaur Rashid, Joshua Melton, Ouldouz Ghorbani +3
In today's digital age, social media platforms play a crucial role in shaping public opinion. This study explores how discussions led by influencers on Twitter, now known as 'X', a…
Flurry: a Fast Framework for Reproducible Multi-layered Provenance Graph Representation Learning
Maya Kapoor, Joshua Melton, Michael Ridenhour +3
Complex heterogeneous dynamic networks like knowledge graphs are powerful constructs that can be used in modeling data provenance from computer systems. From a security perspective…
Pay Attention to Relations: Multi-embeddings for Attributed Multiplex Networks
Joshua Melton, Michael Ridenhour, Siddharth Krishnan
Graph Convolutional Neural Networks (GCNs) have become effective machine learning algorithms for many downstream network mining tasks such as node classification, link prediction,…
DeL-haTE: A Deep Learning Tunable Ensemble for Hate Speech Detection
Joshua Melton, Arunkumar Bagavathi, Siddharth Krishnan
Online hate speech on social media has become a fast-growing problem in recent times. Nefarious groups have developed large content delivery networks across several main-stream (Tw…