63 citations · 147 across the 6 of their papers we have counts for
6 papers
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…
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…
Neutral bots probe political bias on social media
Wen Chen, Diogo Pacheco, Kai-Cheng Yang +1
Social media platforms attempting to curb abuse and misinformation have been accused of political bias. We deploy neutral social bots who start following different news sources on…
Unveiling Coordinated Groups Behind White Helmets Disinformation
Diogo Pacheco, Alessandro Flammini, Filippo Menczer
Propaganda, disinformation, manipulation, and polarization are the modern illnesses of a society increasingly dependent on social media as a source of news. In this paper, we explo…
Uncovering Coordinated Networks on Social Media: Methods and Case Studies
Diogo Pacheco, Pik-Mai Hui, Christopher Torres-Lugo +3
Coordinated campaigns are used to influence and manipulate social media platforms and their users, a critical challenge to the free exchange of information online. Here we introduc…
Massive Multi-Agent Data-Driven Simulations of the GitHub Ecosystem
Jim Blythe, John Bollenbacher, Di Huang +12
Simulating and predicting planetary-scale techno-social systems poses heavy computational and modeling challenges. The DARPA SocialSim program set the challenge to model the evolut…