62 citations · 121 across the 14 of their papers we have counts for
16 papers
Disentangled Mode-Specific Representations for Tensor Time Series via Contrastive Learning
Kohei Obata, Taichi Murayama, Zheng Chen +2
Multi-mode tensor time series (TTS) can be found in many domains, such as search engines and environmental monitoring systems. Learning representations of a TTS benefits various ap…
Impression Zombies: Characteristics Analysis and Classification of New Harmful Accounts on Social Media
Uehara Keito, Taichi Murayama
``Impression Zombies'', a type of malicious account designed to artificially inflate engagement metrics, have recently emerged as a significant threat on X (formerly Twitter). Thes…
D-Tracker: Modeling Interest Diffusion in Social Activity Tensor Data Streams
Shingo Higashiguchi, Yasuko Matsubara, Koki Kawabata +2
Large quantities of social activity data, such as weekly web search volumes and the number of new infections with infectious diseases, reflect peoples' interests and activities. It…
Public Perception of Generative AI on Twitter: An Empirical Study Based on Occupation and Usage
Kunihiro Miyazaki, Taichi Murayama, Takayuki Uchiba +2
The emergence of generative AI has sparked substantial discussions, with the potential to have profound impacts on society in all aspects. As emerging technologies continue to adva…
The Chance of Winning Election Impacts on Social Media Strategy
Taichi Murayama, Akira Matsui, Kunihiro Miyazaki +2
Social media has been a paramount arena for election campaigns for political actors. While many studies have been paying attention to the political campaigns related to partisanshi…
Political Honeymoon Effect on Social Media: Characterizing Social Media Reaction to the Changes of Prime Minister in Japan
Kunihiro Miyazaki, Taichi Murayama, Akira Matsui +4
New leaders in democratic countries typically enjoy high approval ratings immediately after taking office. This phenomenon is called the honeymoon effect and is regarded as a signi…
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…
Universal Fake News Collection System using Debunking Tweets
Taichi Murayama, Shoko Wakamiya, Eiji Aramaki
Large numbers of people use Social Networking Services (SNS) for easy access to various news, but they have more opportunities to obtain and share ``fake news'' carrying false info…
Fake News Detection using Temporal Features Extracted via Point Process
Taichi Murayama, Shoko Wakamiya, Eiji Aramaki
Many people use social networking services (SNSs) to easily access various news. There are numerous ways to obtain and share ``fake news,'' which are news carrying false informatio…
Modeling the spread of fake news on Twitter
Taichi Murayama, Shoko Wakamiya, Eiji Aramaki +1
Fake news can have a significant negative impact on society because of the growing use of mobile devices and the worldwide increase in Internet access. It is therefore essential to…
Syndromic surveillance using search query logs and user location information from smartphones against COVID-19 clusters in Japan
Shohei Hisada, Taichi Murayama, Kota Tsubouchi +4
[Background] Two clusters of coronavirus disease 2019 (COVID-19) were confirmed in Hokkaido, Japan in February 2020. To capture the clusters, this study employs Web search query lo…