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

  • Disinformation, Misinformation, and Fake News in Social Media - Emerging Research Challenges and Opportunities.
    Kai Shu, Suhang Wang, Dongwon Lee, and Huan Liu.
    Lecture Notes in Social Network (LNSN), Springer Press, 2020. Forthcoming.
  • Mining Disinformation and Fake News: Concepts, Methods, and Recent Advancements. [PDF][A Chinese Blog from Zhuanzhi]
    Kai Shu, Suhang Wang, Dongwon Lee, and Huan Liu.
    Lecture Notes in Social Network (LNSN), Springer Press, 2020.
  • 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

  • Detecting and Mitigating Disinformation in a Social Media Age. [PDF]
    Kai Shu, Amrita Bhattacharjee, Faisal Alatawi, Tahora H. Nazer, Kaize Ding, Mansooreh Karami, and Huan Liu.
    WIREs Data Mining and Knowledge Discovery, 2020. (Minor Revision)
  • FakeNewsNet: A Data Repository with News Content, Social Context and Dynamic Information for Studying Fake News on Social Media. [PDF]
    Kai Shu, Deepak Mahudeswaran, Suhang Wang, Dongwon Lee, and Huan Liu.
    Journal of Big Data, Mary Ann Liebert, Inc. Publishers, 2020
  • Joint Spatial and Temporal Modeling for Hydrological Prediction. [PDF]
    Qun Zhao, Yuelong Zhu, Kai Shu, Dingsheng Wan, Yufeng Yu, Xudong Zhou, and Huan Liu.
    IEEE Access, 2020.
  • 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

  • Leveraging Multi-Source Weak Social Supervision for Early Detection of Fake News. [PDF]
    Kai Shu, Guoqing Zheng, Yichuan Li, Subhabrata Mukherjee, Ahmed Hassan Awadallah, Scott Ruston, and Huan Liu.
    Proceedings of European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2020) Media coverage: [Venturebeat]
  • Spatial Community-Informed Evolving Graphs for Demand Prediction. [PDF]
    Qianru Wang, Bin Guo, Yi Ouyang, Kai Shu, Zhiwen Yu and Huan Liu.
    Proceedings of European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2020)
  • Learning with Weak Supervision for Email Intent Detection. [PDF]
    Kai Shu, Subhabrata Mukherjee*, Guoqing Zheng*, Ahmed Hassan Awadallah, Milad Shokouhi and Susan Dumais.
    Proceedings of 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020)
  • Joint Local and Global Sequence Modeling in Temporal Correlation Networks for Trending Topic Detection. [PDF]
    Kai Shu, Liangda Li, Suhang Wang, Yunhong Zhou, and Huan Liu.
    Proceedings of 12th ACM Web Science Conference (WebSci 2020)
  • 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).