Xinyi Zhou


Ph.D. Candidate

EECS Dept., Syracuse Univ.

[ HomeCV | Short Bio ]

About Me

I am a third-year Ph.D. candidate in Computer and Information Science. My advisor is Prof. Reza Zafarani.


My research broadly spans across machine learning, data (text and graph) mining, social media mining, and social computing with an emphasis on unreliable information, which includes fake news, clickbait, and mis-/dis-information. Currently, I am working on to achieve automatic, effective, and interpretable fake news detection and intervention by incorporating techniques in the areas aforementioned with fundamental theories in psychology, social science, and political science.

To have a general idea about my research and fake news, welcome to read our recent survey "Fake News: A Survey of Research, Detection Methods, and Opportunities," or see our recent tutorials given in WSDM'19 / KDD'19.

News & Upcoming Events

  • [Apr. 2020] Our survey paper has been accepted by CSUR. Thank all reviewers for their constructive comments!

  • [Feb. 2020] I will give a talk with the topic of explainable fake news detection in the Applied Math Seminar at Syracuse University. Thank Prof. Minghao Rostami's invitation.  **Delayed due to COVID-19

  • [Jan. 2020] One paper has been accepted by PAKDD'20. In this work, we investigated how the relationship between news text and images can help detect fake news. Thank all reviewers' positive and constructive comments. 

  • [Jan. 2020] I received the Varshney Scholarship awarded to only one student in the college. Thank Alex Dunbar for the coverage.

  • [Dec. 2019] One paper was accepted as a book chapter in Lecture Notes in Social Network

  • [Dec. 2019] One first-author paper was accepted by journal ACM Digital Threats: Research and Practice. In this paper, we identified the characteristics of fake news within its writing style by conducting interdisciplinary research and by comparing it with real news, deception, and clickbait. 

  • [Dec. 2019] Paper "Network-based Fake News Detection: A Pattern-driven Approach" has been available on SIGKDD Explorations. We investigated how the networks formed by news spreaders can benefit news verification.

  • [Sep. 2019] Thank Oliver Peckham for nicely featuring our KDD'19 tutorial in the article "AI Squares Off Against Fake News" on Datanami.

  • [Jul. 2019] One first-author paper was accepted by ICWSM'20.

  • [Jun. 2019] One paper was accepted by ASONAM'19.

  • [Apr. 2019] Our tutorial coordinated with Prof. Huan Liu's team has been accepted by KDD'19. See you in Alaska!

  • [Feb. 2019] I will give a short talk in WinDS'19. See you in San Francisco!

  • [Nov. 2018] Paper "A DEMATEL-based Completion Method for Incomplete Pairwise Comparison Matrix in AHP" has been available on Annals of Operations Research. Thank Prof. Felix T. S. Chan and Prof. Alessio Ishizaka for their supports to me and this work.

  • [Nov. 2018] Two first-author papers were selected in The 100 Most Influential Research Papers in China (2017). Thank Prof. Yong Deng for his strong supports to me all along.

  • [Oct. 2018] Our tutorial was accepted by WSDM'19. See you in Melbourne, Australia!

Last updated on Apr. 19, 2020