21 citations · 21 across the 6 of their papers we have counts for
8 papers
Mining Reaction and Diffusion Dynamics in Social Activities
Taichi Murayama, Yasuko Matsubara, Yasushi Sakurai
Large quantifies of online user activity data, such as weekly web search volumes, which co-evolve with the mutual influence of several queries and locations, serve as an important…
Annotation-Scheme Reconstruction for "Fake News" and Japanese Fake News Dataset
Taichi Murayama, Shohei Hisada, Makoto Uehara +2
Fake news provokes many societal problems; therefore, there has been extensive research on fake news detection tasks to counter it. Many fake news datasets were constructed as reso…
Dataset of Fake News Detection and Fact Verification: A Survey
Taichi Murayama
The rapid increase in fake news, which causes significant damage to society, triggers many fake news related studies, including the development of fake news detection and fact veri…
Mitigation of Diachronic Bias in Fake News Detection Dataset
Taichi Murayama, Shoko Wakamiya, Eiji Aramaki
Fake news causes significant damage to society.To deal with these fake news, several studies on building detection models and arranging datasets have been conducted. Most of the fa…
Single Model for Influenza Forecasting of Multiple Countries by Multi-task Learning
Taichi Murayama, Shoko Wakamiya, Eiji Aramaki
The accurate forecasting of infectious epidemic diseases such as influenza is a crucial task undertaken by medical institutions. Although numerous flu forecasting methods and model…
Influenza Surveillance using Search Engine, SNS, On-line Shopping, Q&A Service and Past Flu Patients
Taichi Murayama, Nobuyuki Shimizu, Sumio Fujita +2
Influenza, an infectious disease, causes many deaths worldwide. Predicting influenza victims during epidemics is an important task for clinical, hospital, and community outbreak pr…