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20172023
most citedModeling the spread of fake news on Twitter

62 citations · 171 across the 14 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.CY2020

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…

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…

cs.IR2020★ 31 cited

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…

cs.SI2020★ 24 cited

NAIST COVID: Multilingual COVID-19 Twitter and Weibo Dataset

Zhiwei Gao, Shuntaro Yada, Shoko Wakamiya +1

Since the outbreak of coronavirus disease 2019 (COVID-19) in the late 2019, it has affected over 200 countries and billions of people worldwide. This has affected the social life o…