1.1k citations · 2.5k across the 29 of their papers we have counts for
30 papers
The Invisible Risks of AI-Generated Health Information
Matthew R. DeVerna, Harry Yaojun Yan, Kai-Cheng Yang +1
Generative artificial intelligence (AI) systems now summarize health-related search results, answer medical questions, and offer guidance people once sought from clinicians. These…
Network localization governs social contagion dynamics with macro-level reinforcement
Leyang Xue, Kai-Cheng Yang, Peng-Bi Cui +1
The spread of ideas, behaviors, and technologies generally depends on feedback mechanisms operating across multiple scales. Previous studies have extensively examined pairwise tran…
Large Language Models Require Curated Context for Reliable Political Fact-Checking -- Even with Reasoning and Web Search
Matthew R. DeVerna, Kai-Cheng Yang, Harry Yaojun Yan +1
Large language models (LLMs) have raised hopes for automated end-to-end fact-checking, but prior studies report mixed results. As mainstream chatbots increasingly ship with reasoni…
Post-Post-API Age: Studying Digital Platforms in Scant Data Access Times
Kayo Mimizuka, Megan A Brown, Kai-Cheng Yang +1
Over the past decade, data provided by digital platforms has informed substantial research in HCI to understand online human interaction and communication. Following the closure of…
DomainDemo: a dataset of domain-sharing activities among different demographic groups on Twitter
Kai-Cheng Yang, Pranav Goel, Alexi Quintana-Mathé +5
Social media play a pivotal role in disseminating web content, particularly during elections, yet our understanding of the association between demographic factors and information s…
Election Polls on Social Media: Prevalence, Biases, and Voter Fraud Beliefs
Stephen Scarano, Vijayalakshmi Vasudevan, Mattia Samory +3
Social media platforms allow users to create polls to gather public opinion on diverse topics. However, we know little about what such polls are used for and how reliable they are,…
Characteristics and prevalence of fake social media profiles with AI-generated faces
Kai-Cheng Yang, Danishjeet Singh, Filippo Menczer
Recent advancements in generative artificial intelligence (AI) have raised concerns about their potential to create convincing fake social media accounts, but empirical evidence is…
Social Bots: Detection and Challenges
Kai-Cheng Yang, Onur Varol, Alexander C. Nwala +4
While social media are a key source of data for computational social science, their ease of manipulation by malicious actors threatens the integrity of online information exchanges…
Fact-checking information from large language models can decrease headline discernment
Matthew R. DeVerna, Harry Yaojun Yan, Kai-Cheng Yang +1
Fact checking can be an effective strategy against misinformation, but its implementation at scale is impeded by the overwhelming volume of information online. Recent artificial in…
Anatomy of an AI-powered malicious social botnet
Kai-Cheng Yang, Filippo Menczer
Large language models (LLMs) exhibit impressive capabilities in generating realistic text across diverse subjects. Concerns have been raised that they could be utilized to produce…
Accuracy and Political Bias of News Source Credibility Ratings by Large Language Models
Kai-Cheng Yang, Filippo Menczer
Search engines increasingly leverage large language models (LLMs) to generate direct answers, and AI chatbots now access the Internet for fresh data. As information curators for bi…
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.…
Network localization strength regulates innovation diffusion with macro-level social influence
Leyang Xue, Kai-Cheng Yang, Peng-Bi Cui +1
Innovation diffusion in the networked population is an essential process that drives the progress of human society. Despite the recent advances in network science, a fundamental un…
One Year of COVID-19 Vaccine Misinformation on Twitter: Longitudinal Study
Francesco Pierri, Matthew R. DeVerna, Kai-Cheng Yang +3
Vaccinations play a critical role in mitigating the impact of COVID-19 and other diseases. This study explores COVID-19 vaccine misinformation circulating on Twitter during 2021, w…
Botometer 101: Social bot practicum for computational social scientists
Kai-Cheng Yang, Emilio Ferrara, Filippo Menczer
Social bots have become an important component of online social media. Deceptive bots, in particular, can manipulate online discussions of important issues ranging from elections t…
Systematic comparison of graph embedding methods in practical tasks
Yi-Jiao Zhang, Kai-Cheng Yang, Filippo Radicchi
Network embedding techniques aim at representing structural properties of graphs in geometric space. Those representations are considered useful in downstream tasks such as link pr…
Online misinformation is linked to early COVID-19 vaccination hesitancy and refusal
Francesco Pierri, Brea Perry, Matthew R. DeVerna +4
Widespread uptake of vaccines is necessary to achieve herd immunity. However, uptake rates have varied across U.S. states during the first six months of the COVID-19 vaccination pr…
CoVaxxy: A Collection of English-language Twitter Posts About COVID-19 Vaccines
Matthew R. DeVerna, Francesco Pierri, Bao Tran Truong +7
With a substantial proportion of the population currently hesitant to take the COVID-19 vaccine, it is important that people have access to accurate information. However, there is…
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…