most citedThe COVID-19 Infodemic: Twitter versus Facebook

8 citations · 10 across the 2 of their papers we have counts for

collaborators

6 papers

cs.SI20208 cited

The COVID-19 Infodemic: Twitter versus Facebook

Kai-Cheng Yang, Francesco Pierri, Pik-Mai Hui +4

The global spread of the novel coronavirus is affected by the spread of related misinformation -- the so-called COVID-19 Infodemic -- that makes populations more vulnerable to the…

cs.CY20202 cited

How Twitter Data Sampling Biases U.S. Voter Behavior Characterizations

Kai-Cheng Yang, Pik-Mai Hui, Filippo Menczer

Online social media are key platforms for the public to discuss political issues. As a result, researchers have used data from these platforms to analyze public opinions and foreca…

cs.SI2020

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…

cs.CY2019

Scalable and Generalizable Social Bot Detection through Data Selection

Kai-Cheng Yang, Onur Varol, Pik-Mai Hui +1

Efficient and reliable social bot classification is crucial for detecting information manipulation on social media. Despite rapid development, state-of-the-art bot detection models…

cs.MA2019

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…

cs.CY2019

Bot Electioneering Volume: Visualizing Social Bot Activity During Elections

Kai-Cheng Yang, Pik-Mai Hui, Filippo Menczer

It has been widely recognized that automated bots may have a significant impact on the outcomes of national events. It is important to raise public awareness about the threat of bo…