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Annotation-Scheme Reconstruction for “Fake News” and Japanese Fake News Dataset
Using the annotation scheme, we construct and publish the first Japanese fake news dataset.
Mining Reaction and Diffusion Dynamics in Social Activities
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 social sensor.
Annotation-Scheme Reconstruction for "Fake News" and Japanese Fake News Dataset
Using the annotation scheme, we construct and publish the first Japanese fake news dataset.
Dataset of Fake News Detection and Fact Verification: A Survey
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 verification techniques.
Mitigation of Diachronic Bias in Fake News Detection Dataset
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.
Single Model for Influenza Forecasting of Multiple Countries by Multi-task Learning
The accurate forecasting of infectious epidemic diseases such as influenza is a crucial task undertaken by medical institutions.
Syndromic surveillance using search query logs and user location information from smartphones against COVID-19 clusters in Japan
Second, we extracted the location of the WSSCI via the smartphone application.
