66 citations · 108 across the 11 of their papers we have counts for
6 papers · 1 filter
Emergence of Stereotypes and Affective Polarization from Belief Network Dynamics
Ozgur Can Seckin, Rachith Aiyappa, Madalina Vlasceanu +3
Our belief systems are shaped by social processes, such as observations and influence, and by cognitive processes, such as the drive for internal coherence. These processes steer h…
How the cascade inference problem distorts information diffusion
Matthew R. DeVerna, Francesco Pierri, Rachith Aiyappa +3
To analyze the flow of information online, experts often rely on platform-provided data from social media companies, which typically attribute all resharing actions to an original…
Implicit degree bias in the link prediction task
Rachith Aiyappa, Xin Wang, Munjung Kim +4
Link prediction -- a task of distinguishing actual hidden edges from random unconnected node pairs -- is one of the quintessential tasks in graph machine learning. Despite being wi…
A Multi-Platform Collection of Social Media Posts about the 2022 U.S. Midterm Elections
Rachith Aiyappa, Matthew R. DeVerna, Manita Pote +13
Social media are utilized by millions of citizens to discuss important political issues. Politicians use these platforms to connect with the public and broadcast policy positions.…
Emergence of simple and complex contagion dynamics from weighted belief networks
Rachith Aiyappa, Alessandro Flammini, Yong-Yeol Ahn
Social contagion is a ubiquitous and fundamental process that drives individual and social changes. Although social contagion arises as a result of cognitive processes and biases,…
Identifying and characterizing superspreaders of low-credibility content on Twitter
Matthew R. DeVerna, Rachith Aiyappa, Diogo Pacheco +2
The world's digital information ecosystem continues to struggle with the spread of misinformation. Prior work has suggested that users who consistently disseminate a disproportiona…