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E. Aramaki

4 papers hereh-index 263.1k citations204 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.SI2
  • cs.CL1
  • cs.CY1

identity via Semantic Scholar / OpenAlex

most citedNAIST COVID: Multilingual COVID-19 Twitter and Weibo Dataset

24 citations · 24 across the 2 of their papers we have counts for

collaborators

4 papers

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★ 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…

cs.CL2017

Density Estimation for Geolocation via Convolutional Mixture Density Network

Hayate Iso, Shoko Wakamiya, Eiji Aramaki

Nowadays, geographic information related to Twitter is crucially important for fine-grained applications. However, the amount of geographic information avail- able on Twitter is lo…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.