| 姓名 | 徐文韬 |
|
| 职称 | 特任副研究员 | |
| 邮件 | myrainbowandsky[AT]gmail.com | |
| 所属单位 | 科技传播系 |
个人简介：
徐文韬，信息学博士，现任中国科学技术大学科技传播系特任副研究员，日本文部科学省资助东海高等教育机构，下一代前沿交叉科学研究员。研究兴趣：计算社会科学fundamental问题、NLP基本问题，社交媒体、复杂网络。成果见于Journal of Computational Social Sciences、计算社会科学顶会IC2S2。担任 Frontiers in Public Health、Journal of Social Media + Society、 Journal of Computational Social Sciences等计算社会科学杂志审稿人。 |
研究方向：
| 虚假信息扩散、复杂系统、NLP，重点研究社交机器人与人类交互、虚假信息的扩散。研究方法为：网络分析、深度学习、机器学习，NLP。 |
教育经历：
(1) 2019-10 至 2022-09, （日本）名古屋大学, 信息学, 博士 (2) 2009-09 至 2010-08, （瑞典）皇家理工学院, 工业经济学, 硕士 (3) 2007-10 至 2008-09, （英国）巴斯大学, 再生医学, 硕士 (4) 2002-09 至 2006-06, 中国计量大学, 生物工程 （生物信息方向）, 学士 |
主持项目：
2021-2022年度，基于二分网络的社交机器行为识别，日本文部科学省资助、東海国立大学機構 ，下一代前沿交叉科学研究员项目。 |
参与项目：
1. 2021-2022年度日本JST 战略基础研究计划（CREST) ，CREST FakeMedia 的目的是妥善应对人工智能产生的虚假信息带来的潜在威胁，同时建立支持多样化沟通和决策方式的社会信息技术。http://research.nii.ac.jp/~iechizen/crest/en/publication.html 2. 2017-2023年度日本JST 战略基础研究计划（CREST) ，“共生互动：创造和开发连接人类和信息环境的核心技术”。时空多样性中新兴相互作用原理的探索, http://www.er.ams.eng.osaka-u.ac.jp/kawai/crest/index.php/publications/?lang=en) |
论文发表：
1.Xu, W., & Sasahara, K. (2023). Domain-based user embedding for competing events on social media. ArXiv, abs/2308.14806. 2.Wentao Xu and Kazutoshi Sasahara (2022), A Network-Based Approach to QAnon User Dynamics and Topic Diversity During the COVID-19 Infodemic, APSIPA Transactions on Signal and Information Processing: Vol. 11: No. 2, e17. http://dx.doi.org/10.1561/116.00000055 3. Wentao Xuand Kazutoshi Sasahara, Characterizing the roles of bots on Twitter during the COVID-19 infodemic, Journal of Computational Social Science, Aug. 2021, https://doi.org/10.1007/s42001-021-00139-3 4. 徐文韬,叶子弘,俞晓平. 基于支持向量机(SVMs)的核心启动子识别方法[J]. 安徽农学通报,2006,12(13):71-74,200. DOI:10.3969/j.issn.1007-7731.2006.13.032. 5. 徐文韬,叶子弘,俞晓平. 基于支持向量机(SVMs)的人类核心启动子的识别[J]. 安徽农学通报,2006,12(13):64-66,76. DOI:10.3969/j.issn.1007-7731.2006.13.029. |
会议：
1.Wentao Xu, Bin Wang, Jianxun Chu, Network-based Approach to User Engagement and Coordination during the Russo-Ukrainian War, 9th International Conference in Computational Social Science (IC2S2 2023), Copenhagen, Denmark, July 17-20, 2023 2.Wentao Xu and Bin Wang, Language Toxicity Patterns of Politically-Polarized Twitter Replies During the COVID-19 Pandemic, 9th International Conference in Computational Social Science (IC2S2 2023), Copenhagen, Denmark, July 17-20, 2023 3. Wentao Xu and Kazutoshi Sasahara, QAnon User Dynamics And Topical Diversity Amid The COVID-19 Infodemic，International Conference in Computational Social Science (IC2S2), Chicago, July, 2022 4. Wentao Xu and Kazutoshi Sasahara, A network perspective on QAnon movement during COVID-19 infodemic,COMPLEX NETWORKS 2021(The 10th International Conference on Complex Networks and their Applications, Madrid, Spain, Nov.-Dec. 2021 5. Wentao Xu and Kazutoshi Sasahara, Twitter Bot Networks and Activity Patterns during the COVID-19 Infodemic at the International Conference in Computational Social Science (IC2S2), July 2021 6. Wentao Xu and Kazutoshi Sasahara, Network and behavioral patterns of bots during the early COVID-19 infodemic, The 35th Annual Conference of the Japanese Society for Artificial Intelligence, 2021 (JSAI 2021), June 2021, https://doi.org/10.11517/pjsai.JSAI2021.0_4N3IS1b04 7. Wentao Xu and Kazutoshi Sasahara, Characterizing the roles of bots during the COVID-19 infodemic on Twitter, at The Fifth Computational Social Science Japan Workshop (CSSJ2021), Kobe University. Feb 2021 8. Wentao Xu and Kazutoshi Sasahara, Fake News Characterization Using Linguistic Features at The Fourth Computational Social Science Japan Workshop (CSSJ2020), Kobe University, Feb 2020 |
获奖：
(1) 徐文韬, 第二届 NTTデータTwitter Innovation Contest 一等奖, NTT (2) 徐文韬 , 第二届 データTwitter Innovation Contest日立特别奖, NTT |
