1.1k citations · 2.5k across the 29 of their papers we have counts for
8 papers · 1 filter
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…
Model-free hidden geometry of complex networks
Yi-Jiao Zhang, Kai-Cheng Yang, Filippo Radicchi
The fundamental idea of embedding a network in a metric space is rooted in the principle of proximity preservation. Nodes are mapped into points of the space with pairwise distance…
The Manufacture of Partisan Echo Chambers by Follow Train Abuse on Twitter
Christopher Torres-Lugo, Kai-Cheng Yang, Filippo Menczer
A growing body of evidence points to critical vulnerabilities of social media, such as the emergence of partisan echo chambers and the viral spread of misinformation. We show that…
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…
Detection of Novel Social Bots by Ensembles of Specialized Classifiers
Mohsen Sayyadiharikandeh, Onur Varol, Kai-Cheng Yang +2
Malicious actors create inauthentic social media accounts controlled in part by algorithms, known as social bots, to disseminate misinformation and agitate online discussion. While…
Persona2vec: A Flexible Multi-role Representations Learning Framework for Graphs
Jisung Yoon, Kai-Cheng Yang, Woo-Sung Jung +1
Graph embedding techniques, which learn low-dimensional representations of a graph, are achieving state-of-the-art performance in many graph mining tasks. Most existing embedding a…
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…
Prevalence of Low-Credibility Information on Twitter During the COVID-19 Outbreak
Kai-Cheng Yang, Christopher Torres-Lugo, Filippo Menczer
As the novel coronavirus spreads across the world, concerns regarding the spreading of misinformation about it are also growing. Here we estimate the prevalence of links to low-cre…