Sakaki Takeshi 榊剛史

Researcher Number	00735805
Other IDs
Affiliation (Current)	2025: 東京大学, 未来ビジョン研究センター, 客員研究員
Affiliation (based on the past Project Information) *help	2019 – 2024: 東京大学, 未来ビジョン研究センター, 客員研究員
Review Section/Research Field	Principal Investigator Basic Section 62020:Web informatics and service informatics-related
Keywords	Principal Investigator 社会ネットワーク分析 / 情報拡散 / ウェブマイニング / 計算社会科学 / ユーザ行動モデリング / インフォデミック / SNS / ネットワーク成長過程 / エコーチェンバー / サイエンスコミュニケーション … More / SNS分析 / コミュニティ抽出 / 炎上 / 情報拡散分析 Less

A study on the reproduction of social network growth processes and the prevention of information bias based on real dataPrincipal Investigator
- Principal Investigator
  
  榊剛史
- Project Period (FY)
  2024 – 2026
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 62020:Web informatics and service informatics-related
- Research Institution
  The University of Tokyo
Research on Measuring the Quality of SNS Content Based on the Characteristics and Reactions of Information RecipientsPrincipal Investigator
- Principal Investigator
  
  Sakaki Takeshi
- Project Period (FY)
  2021 – 2023
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 62020:Web informatics and service informatics-related
- Research Institution
  The University of Tokyo
Research on modeling of information diffusion on social media based on post groups and user groupsPrincipal Investigator
- Principal Investigator
  
  Sakaki Takeshi
- Project Period (FY)
  2019 – 2021
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 62020:Web informatics and service informatics-related
- Research Institution
  The University of Tokyo

All 2024 2022 2021 2020 2019

All Journal Article Presentation

[Journal Article] Anti-vaccine rabbit hole leads to political representation: the case of Twitter in Japan2024
- Author(s)
  Toriumi Fujio、Sakaki Takeshi、Kobayashi Tetsuro、Yoshida Mitsuo
- Journal Title
  
  Journal of Computational Social Science
  
  Volume: - Issue: 1 Pages: 1-19
- DOI
  10.1007/s42001-023-00241-8
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-21K17859, KAKENHI-PROJECT-23K20584, KAKENHI-PROJECT-23K22084, KAKENHI-PROJECT-23K25160
[Journal Article] Do media events still unite the host nation’s citizens? The case of the Tokyo 2020 Olympic Games2022
- Author(s)
  Sakaki Takeshi、Kobayashi Tetsuro、Yoshida Mitsuo、Toriumi Fujio
- Journal Title
  
  PLOS ONE
  
  Volume: 17 Issue: 12 Pages: e0278911-e0278911
- DOI
  10.1371/journal.pone.0278911
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-21K17859, KAKENHI-PROJECT-19H00582, KAKENHI-PROJECT-23K20584
[Journal Article] Dense and influential core promotion of daily viral information spread in political echo chambers2021
- Author(s)
  Asatani Kimitaka、Yamano Hiroko、Sakaki Takeshi、Sakata Ichiro
- Journal Title
  
  Scientific Reports
  
  Volume: 11 Issue: 1 Pages: 7491-7491
- DOI
  10.1038/s41598-021-86750-w
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K20413
[Journal Article] Retrospective analysis of controversial topics on COVID-19 in Japan2021
- Author(s)
  Miyazaki Kunihiro、Uchiba Takayuki、Toriumi Fujio、Tanaka Kenji、Sakaki Takeshi
- Journal Title
  
  Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
  
  Volume: 2021 Pages: 510-517
- DOI
  10.1145/3487351.3490963
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21K17859
[Journal Article] Japanese conservative messages propagate to moderate users better than their liberal counterparts on Twitter2021
- Author(s)
  Yoshida Mitsuo、Sakaki Takeshi、Kobayashi Tetsuro、Toriumi Fujio
- Journal Title
  
  Scientific Reports
  
  Volume: 11 Issue: 1 Pages: 19224-19224
- DOI
  10.1038/s41598-021-98349-2
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K20413, KAKENHI-PROJECT-19H00582
[Journal Article] Constructive Approach for Early Extraction of Viral Spreading Social Issues from Twitter2020
- Author(s)
  Chou Jen Shiau、Masanao Ochi、Takeshi Sakaki、Ken Nagahama、Kanji Sakai、Junichiro Mori、Ichiro Sakata
- Journal Title
  
  Proceedings of ACM Web Science 2020 (WebSci2020)
  
  Volume: 1 Pages: 96-105
- DOI
  10.1145/3394231.3397899
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K12076, KAKENHI-PROJECT-19K20413, KAKENHI-PROJECT-17K00427
[Journal Article] Social Emotions Under the Spread of COVID-19 Using Social Media2020
- Author(s)
  Toriumi Fujio、Sakaki Takeshi、Yoshida Mitsuo
- Journal Title
  
  Transactions of the Japanese Society for Artificial Intelligence
  
  Volume: 35 Issue: 4 Pages: F-K45_1-7
- DOI
  10.1527/tjsai.F-K45
- NAID
  130007868000
- ISSN
  1346-0714, 1346-8030
- Year and Date
  2020-07-01
- Language
  Japanese
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K20413, KAKENHI-PROJECT-19H02376
[Journal Article] Comparative evaluation of two approaches for retweet clustering: A text-based method and graph-based method2019
- Author(s)
  Uchida Kazuki、Toriumi Fujio、Sakaki Takeshi
- Journal Title
  
  Web Intelligence
  
  Volume: 17 Issue: 4 Pages: 271-284
- DOI
  10.3233/web-190418
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19K20413, KAKENHI-PROJECT-19H02376
[Presentation] コミュニティの偏りを用いた炎上の一般性評価:再燃焼系炎上における分析2020
- Author(s)
  鳥海不二夫, 榊剛史
- Organizer
  人工知能学会全国大会論文集 2020
- Data Source
  KAKENHI-PROJECT-19K20413
[Presentation] ユーザ反応時間に基づくメディア企業SNSアカウントの傾向分析2020
- Author(s)
  榊剛史、鳥海不二夫
- Organizer
  電子情報通信学会　言語理解とコミュニケーション研究会　2019年度2月研究会
- Data Source
  KAKENHI-PROJECT-19K20413
[Presentation] 公開ソーシャルポルノ仮説に基づくメディア企業SNSアカウントの扇動性に関する分析2020
- Author(s)
  榊剛史, 鳥海不二夫
- Organizer
  人工知能学会全国大会論文集 2020
- Data Source
  KAKENHI-PROJECT-19K20413
[Presentation] SNSデータを用いたセキュリティインシデント早期検知に関する実現可能性検証2019
- Author(s)
  榊剛史、大坪雄平、鳥海不二夫
- Organizer
  コンピュータセキュリティシンポジウム2019論文集
- Data Source
  KAKENHI-PROJECT-19K20413
[Presentation] ソーシャルメディア上の大規模情報拡散に関する俯瞰的可視化手法の提案2019
- Author(s)
  榊剛史、鳥海不二夫、大知正直
- Organizer
  第33回人工知能学会全国大会
- Data Source
  KAKENHI-PROJECT-19K20413
[Presentation] ネット炎上におけるユーザーの共振構造2019
- Author(s)
  小山耕平、浅谷公威、榊剛史、坂田一郎
- Organizer
  第33回人工知能学会全国大会
- Data Source
  KAKENHI-PROJECT-19K20413

1. MORI Junichiro

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results

Sakaki Takeshi 榊 剛史

Research Projects

Research Products

Co-Researchers

A study on the reproduction of social network growth processes and the prevention of information bias based on real dataPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Research on Measuring the Quality of SNS Content Based on the Characteristics and Reactions of Information RecipientsPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Research on modeling of information diffusion on social media based on post groups and user groupsPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Anti-vaccine rabbit hole leads to political representation: the case of Twitter in Japan2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Do media events still unite the host nation’s citizens? The case of the Tokyo 2020 Olympic Games2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Dense and influential core promotion of daily viral information spread in political echo chambers2021

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Retrospective analysis of controversial topics on COVID-19 in Japan2021

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Japanese conservative messages propagate to moderate users better than their liberal counterparts on Twitter2021

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Constructive Approach for Early Extraction of Viral Spreading Social Issues from Twitter2020

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Social Emotions Under the Spread of COVID-19 Using Social Media2020

Author(s)

Journal Title

DOI

NAID

ISSN

Year and Date

Language

Data Source

[Journal Article] Comparative evaluation of two approaches for retweet clustering: A text-based method and graph-based method2019

Author(s)

Journal Title

DOI

Data Source

[Presentation] コミュニティの偏りを用いた炎上の一般性評価:再燃焼系炎上における分析2020

Author(s)

Organizer

Data Source

[Presentation] ユーザ反応時間に基づくメディア企業SNSアカウントの傾向分析2020

Author(s)

Organizer

Data Source

[Presentation] 公開 ソーシャルポルノ仮説に基づくメディア企業SNSアカウントの扇動性に関する分析2020

Author(s)

Organizer

Data Source

[Presentation] SNSデータを用いたセキュリティインシデント早期検知に関する実現可能性検証2019

Author(s)

Sakaki Takeshi 榊剛史

[Presentation] 公開ソーシャルポルノ仮説に基づくメディア企業SNSアカウントの扇動性に関する分析2020