9 citations · 9 across the 6 of their papers we have counts for
6 papers
Modeling Duelling Contagions of True and False Information in the Face of Inherent Individual biases
Vaibhav Krishna, Hirokazu Shirado, Feng Fu +1
Advanced digital communication has revolutionized how people create and consume information, making information diffusion an important topic of research for domains from public hea…
Countering the Forgetting of Novel Health Information with 'Social Boosting'
Vaibhav Krishna, Nicholas A. Christakis
To mitigate the adverse effects of low-quality or false information, studies have shown the effectiveness of various intervention techniques through debunking or so-called pre-bunk…
Simplifying Sparse Expert Recommendation by Revisiting Graph Diffusion
Vaibhav Krishna, Nino Antulov-Fantulin
Community Question Answering (CQA) websites have become valuable knowledge repositories where individuals exchange information by asking and answering questions. With an ever-incre…
Topic Community Based Temporal Expertise for Question Routing
Vaibhav Krishna, Vaiva Vasiliauskaite, Nino Antulov-Fantulin
Question Routing in Community-based Question Answering websites aims at recommending newly posted questions to potential users who are most likely to provide "accepted answers". Mo…
Augmenting Organizational Decision-Making with Deep Learning Algorithms: Principles, Promises, and Challenges
Yash Raj Shrestha, Vaibhav Krishna, Georg von Krogh
The current expansion of theory and research on artificial intelligence in management and organization studies has revitalized the theory and research on decision-making in organiz…
Is Simple Better? Revisiting Non-linear Matrix Factorization for Learning Incomplete Ratings
Vaibhav Krishna, Tian Guo, Nino Antulov-Fantulin
Matrix factorization techniques have been widely used as a method for collaborative filtering for recommender systems. In recent times, different variants of deep learning algorith…