Ph.D. Candidate

EECS Dept., Syracuse Univ.

zhouxinyi@data.syr.edu

  • Sep. 2019: One paper was accepted by SIGKDD Explorations. [PDF]

  • Sep. 2019: Our KDD'19 tutorial was nicely featured, see AI Squares Off Against Fake News for more details.

  • Jun.-Jul. 2019: Papers were accepted by ICWSM'20 and ASONAM'19.

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About Me

Currently, I'm a 3rd-year Ph.D. candidate in Data Lab at Syracuse UniversityMy advisor is Professor Reza Zafarani

 

My research interests span Social Media Mining, Machine Learning and Social Computing with an emphasis on Disinformation Research.

To know more about my research and fake news, welcome to read our recent work: 

Fake News: A Survey of Research, Detection Methods, and Opportunities. 

Xinyi Zhou and Reza Zafarani. arXiv:1812.00315, 2018,

or see our recent tutorials given in WSDM'19 / KDD'19.

To be specific, I'm currently working on interdisciplinary research to achieve automatic, efficient and explainable fake news detection and intervention. For this purpose, we aim to combine techniques in Data/Graph Mining, Machine Learning, Natural Language Processing, and Information Retrieval with fundamental theories in Psychology, Social Science, Political Science and Economy.

If you know any related well-established theories in these non-CS disciplines / If you are interested and looking forward to collaboration opportunities / If you have any comments and suggestions on our work / etc., please feel free to contact us!

Last updated on December 1, 2019

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