Preprints


Tutorials

  • Fake News Research: Theories, Detection Strategies, and Open Problems.
    [PDF][Website]
    Reza Zafarani, Xinyi Zhou, Kai Shu, and Huan Liu.
    25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2019).
    Media coverage: [A Blog in Japanese][Datanami]
  • Fake News: Fundamental Theories, Detection Strategies and Challenges.
    [PDF][Website]
    Xinyi Zhou, Reza Zafarani, Kai Shu, and Huan Liu.
    Proceedings of 12th ACM International Conference on Web Search and Data Mining (WSDM 2019).
    Media coverage: [Psychology Today]

Books or Book Chapters

  • Studying Fake News via Network Analysis: Detection and Mitigation. [PDF][A Course Blog from Cornell University]
    Kai Shu, H. Russell Bernard, and Huan Liu.
    Lecture Notes in Social Network (LNSN), Springer Press, 2018.

Journal Papers and Magzines

  • Exploring Correlation Network for Cheating Detection. [PDF]
    Ping Luo, Kai Shu, Junjie Wu, Li Wan, and Yong Tan.
    ACM TIST, 2019.
  • FakeNewsTracker: A Tool for Fake News Collection, Detection, and Visualization. [PDF]Poster][Demo]
    Kai Shu, Deepak Mahudeswaran, and Huan Liu.
    Computational and Mathematical Organization Theory, 2019 (CMOT 2019). Best of SBP
  • Towards Privacy Preserving Social Recommendation under Personalized Privacy Settings. [PDF]
    Xuying Meng, Suhang Wang, Kai Shu, Jundong Li, Bo Chen, Huan Liu, and Yujun Zhang.
    World Wide Web Journal, 2018.
  • User Identity Linkage across Online Social Networks: A Review. [PDF]
    Kai Shu, Suhang Wang, Jiliang Tang, Reza Zafarani, and Huan Liu.
    SIGKDD Explorations, 2016.

Conference Papers

  • Hierarchical Propagation Networks for Fake News Detection: Investigation and Exploitation. [PDF]
    Kai Shu, Deepak Mahudeswaran, Suhang Wang, and Huan Liu.
    Proceedings of 14th the International AAAI Conference on Web and Social Media (ICWSM 2020)

2019

  • Privacy Preserving Text Representation Learning. [PDF]
    Ghazaleh Beigi, Kai Shu, Ruocheng Guo, Suhang Wang, and Huan Liu.
    Proceedings of the 30th ACM Conference on Hypertext and Social Media (HT 2019) (Poster paper)
  • Using Synthetic Clickbaits to Improve Prediction and Distinguish between Bot-Generated and Human-Written Headlines. [PDF]
    Thai Le, Kai Shu, Maria D. Molina, Dongwon Lee, S. Shyam Sundar, and Huan Liu.
    Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2019)
    Media coverage: [Newswise]
  • The Role of User Profiles for Fake News Detection. [PDF]
    Kai Shu, Xinyi Zhou, Suhang Wang, Reza Zafarani, and Huan Liu.
    Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2019) (Short Paper)
  • dEFEND: Explainable Fake News Detection. [PDF][Code]
    Kai Shu, Limeng Cui, Suhang Wang, Dongwon Lee, and Huan Liu.
    Proceedings of 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2019) Media coverage: [Techxplore Today]
  • Exploiting Emojis for Sarcasm Detection. [PDF]
    Jayashree Subramanian*, Varun Sridharan*, Kai Shu, and Huan Liu.
    International Conference on Social Computing, Behavior-Culture Modeling, and Prediction (SBP 2019).
  • Unsupervised Fake News Detection on Social Media: A Generative Approach. [PDF][Code]
    Shuo Yang, Kai Shu, Suhang Wang, Renjie Gu, Fan Wu, and Huan Liu.
    Proceedings of 33rd AAAI Conference on Artificial Intelligence (AAAI 2019) .
  • Beyond News Content: The Role of Social Context for Fake News Detection.
    [PDF][Poster]
    Kai Shu, Suhang Wang, and Huan Liu.
    Proceedings of 12th ACM International Conference on Web Search and Data Mining (WSDM 2019).
    Media coverage: [KDnuggets] [The Morning Paper]
  • Linked Variational AutoEncoders for Inferring Substitutable and Supplementary Items. [PDF]
    Vineeth Rakesh, Suhang Wang, Kai Shu, and Huan Liu.
    Proceedings of 12th ACM International Conference on Web Search and Data Mining (WSDM 2019).

2018

  • Deep Headline Generation for Clickbait Detection. [PDF][Slides]
    Kai Shu, Suhang Wang, Thai Le, Dongwon Lee, and Huan Liu.
    The 2018 IEEE International Conference on Data Mining (ICDM 2018) (Regular Paper)
  • Using Social Media to Understand Cyber Attack Behavior. [PDF]
    Amy Sliva, Kai Shu, and Huan Liu.
    9th International Conference on Applied Human Factors and Ergonomics (AHFE 2018)
  • Exploiting User Actions for App Recommendations. [PDF][Slides]
    Kai Shu, Suhang Wang, Jiliang Tang, Yi Chang, Ping Luo, and Huan Liu.
    The 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2018) (Short Paper)
  • Multimodal Fusion of Brain Networks with Longitudinal Couplings. [PDF]
    Wen Zhang, Kai Shu, Suhang Wang, Huan Liu, and Yalin Wang.
    21th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2018).
  • Securing Social Media User Data - An Adversarial Approach. [PDF]
    Ghazaleh Beigi, Kai Shu, Yanchao Zhang, and Huan Liu.
    29th ACM Conference on Hypertext and Social Media (HT 2018).
  • Understanding Cyber Attack Behaviors with Sentiment Information on Social Media. [PDF]
    Kai Shu, Amy Sliva, Justin Sampson, and Huan Liu.
    International Conference on Social Computing, Behavior-Culture Modeling, and Prediction (SBP 2018).
  • Personalized Privacy-Preserving Social Recommendation. [PDF]
    Xuying Meng, Suhang Wang, Kai Shu, Jundong Li, Bo Chen, Huan Liu, and Yujun Zhang.
    Proceedings of 32nd AAAI Conference on Artificial Intelligence (AAAI 2018).
  • CrossFire: Cross Media Joint Friend and Item Recommendations. [PDF][Slides][Poster]
    Kai Shu, Suhang Wang, Jiliang Tang, Yilin Wang, and Huan Liu.
    Proceedings of 11th ACM International Conference on Web Search and Data Mining (WSDM 2018).

2017

  • What Your Images Reveal: Exploiting Visual Contents for Point-of-Interest Recommendation. [PDF]
    Suhang Wang, Yilin Wang, Jiliang Tang, Kai Shu, Suhas Ranganath, and Huan Liu.
    Proceedings of 26th International World Wide Web Conference (WWW 2017).

2016

  • Multi-Label Informed Feature Selection. [PDF]
    Ling Jian, Jundong Li, Kai Shu, and Huan Liu.
    Proceedings of 25th International Joint Conference on Artificial Intelligence (IJCAI 2016).

Before 2016

  • Deal or Deceit: Detecting Cheating in Distribution Channels. [PDF][Slides]
    Kai Shu, Ping Luo, Li Wan, Peifeng Yin, and Linpeng Tang.
    Proceedings of the 23rd ACM International Conference on Information and Knowledge Management (CIKM 2014).
  • Sequences Modeling and Analysis Based on Complex Network. [PDF]
    Li Wan, Kai Shu, and Yu Guo.
    Communications and Information Processing. Springer Berlin Heidelberg, pages 246-252, 2012.

Workshop and Demo Papers

  • dEFEND: An Explainable Fake News Detection System. [PDF][Demo]
    Limeng Cui, Kai Shu, Suhang Wang, Dongwon Lee, and Huan Liu.
    28th ACM International Conference on Information and Knowledge Management (CIKM 2019).
  • Understanding User Profiles on Social Media for Fake News Detection. [PDF]
    Kai Shu, Suhang Wang, and Huan Liu.
    1st IEEE International Workshop on Fake MultiMedia (FakeMM 2018).