142 citations · 160 across the 7 of their papers we have counts for
7 papers
A Survey of Information Disorder on Video-Sharing Platforms
Meiyu Li, Wei Ai, Naeemul Hassan
Video sharing platforms (VSPs) have become central information hubs but also facilitate the spread of information disorder, from misleading narratives to fabricated content. This s…
Using Artificial Intelligence to Unlock Crowdfunding Success for Small Businesses
Teng Ye, Jingnan Zheng, Junhui Jin +3
While small businesses are increasingly turning to online crowdfunding platforms for essential funding, over 40% of these campaigns may fail to raise any money, especially those fr…
Team Resilience under Shock: An Empirical Analysis of GitHub Repositories during Early COVID-19 Pandemic
Xuan Lu, Wei Ai, Yixin Wang +1
While many organizations have shifted to working remotely during the COVID-19 pandemic, how the remote workforce and the remote teams are influenced by and would respond to this an…
Emojis predict dropouts of remote workers: An empirical study of emoji usage on GitHub
Xuan Lu, Wei Ai, Zhenpeng Chen +2
Emotions at work have long been identified as critical signals of work motivations, status, and attitudes, and as predictors of various work-related outcomes. When more and more em…
Understanding Diffusion of Recurrent Innovations
Fuqi Lin
The diffusion of innovations theory has been studied for years. Previous research efforts mainly focus on key elements, adopter categories, and the process of innovation diffusion.…
Predicting Individual Treatment Effects of Large-scale Team Competitions in a Ride-sharing Economy
Teng Ye, Wei Ai, Lingyu Zhang +4
Millions of drivers worldwide have enjoyed financial benefits and work schedule flexibility through a ride-sharing economy, but meanwhile they have suffered from the lack of a sens…
Through a Gender Lens: Learning Usage Patterns of Emojis from Large-Scale Android Users
Zhenpeng Chen, Xuan Lu, Wei Ai +3
Based on a large data set of emoji using behavior collected from smartphone users over the world, this paper investigates gender-specific usage of emojis. We present various intere…