activity
20202026
most citedModeling the spread of fake news on Twitter

62 citations · 121 across the 14 of their papers we have counts for

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Showing cs.SIShow all

7 papers · 1 filter

cs.SI2026

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…

cs.SI2025★ 1 cited

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…

cs.SI2023★ 4 cited

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…

cs.SI2022★ 1 cited

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…

cs.SI2022

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…

cs.SI2020

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…

cs.SI2020★ 62 cited

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…