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Biography
Guohou (Jack) is a Ph.D. Candidate in Management Information Systems at Fox School of Business in Temple University. Before joining Temple in 2019, he received a Management Science and Engineering master’s degree from the University of Science and Technology of China and an Information Systems master’s degree from the University of Maryland.
Research interests
His main research interests are using econometrics, experimental design, machine learning, and deep learning methods to solve research questions in areas of misinformation, crowdfunding, and real-time employee feedback.
Accepted conferences and Journal papers and presentations
Monideepa Tarafdar, Guohou Shan, Jason Bennett Thatcher, and Alok Gupta. “Intellectual Diversity in
IS Research: Discipline-Based Conceptualization and an Illustration from Information Systems
Research.” Information Systems Research (2022)
Guohou Shan, Sunil Wattal, and Jason Thatcher (2022). “How Does Anonymizing Crowdsourced Users’ Identity Affect Fact-checking on Social Media Platforms? A Regression Discontinuity Analysis”. ICIS, Copenhagen, Denmark.
Guohou Shan and Michael Rivera (2022). “Humanizing Digital Transformation Across People and Things: An Empirical Investigation of the Impact of Real-time Feedback Types on Performance”. ICIS, Copenhagen, Denmark.
Guohou Shan, Konstantin Bauman, and Michael Rivera (2021). “Mobile or Desktop, That Is The Question: A Empirical Study of Investigating the Role of Device on Real-time Employee Feedback Quality”. WITS, Austin, TX.
Guohou Shan, Sunil Wattal, Marten Risius, and Jason Thatcher (2021). “How Fact-checking Affects News Engagement on Social Media Platforms: A Multi-method Study”. WISE, Austin, TX.
Guohou Shan, Zhe Deng, Konstantin Bauman, and Qian Sun (2021). “Student Depression Detection: An Attention-based Bi-LSTM Approach Using Online and Offline Behavior Data”. CSWIM (virtual).
Guohou Shan, Zhe Deng, Konstantin Bauman, and Qian Sun (2021). “Student Depression Detection: An Attention-based Bi-LSTM Approach Using Online and Offline Behavior Data”. SCECR.
Guohou Shan, Konstantin Bauman, and Sunil Wattal (2020). “Uncertainty Prediction for Crowdfunding Projects: A Multi-Label Attention based Text-CNN Approach.” WISE (virtual).
Guohou Shan, Zhe Deng, Konstantin Bauman, and Qian Sun (2020). “Student Depression Detection: An Attention-based Bi-LSTM Approach Using Online and Offline Behavior Data”. WITS.
Guohou Shan, Konstantin Bauman, and Sunil Wattal (2020). “Uncertainty Prediction for Crowdfunding Projects: A Multi-Label Attention based Text-CNN Approach.” Informs Workshop on Data Science (virtual).
Shan, G., Zhou, L., & Zhang, D. (2020). What reveals about depression level? The role of multimodal features at the level of interview questions. Information & Management, 57(7), 103349.
Shan, G., Zhou, L., & Zhang, D. (2021). From conflicts and confusion to doubts: Examining review inconsistency for fake review detection. Decision Support Systems, 113513.
Shan, G., Zhao, B., Clavin, J. R., Zhang, H., & Duan, S. (2021). Poligraph: Intrusion-tolerant and distributed fake news detection system. IEEE Transactions on Information Forensics and Security, 17, 28-41.
Guohou Shan, et al. How to Sell Online House for More? 17th Pre-ICIS.
Guohou Shan, et al. Inconsistency Investigation between Online Review Content and Ratings. AMCIS 2018.
Guohou Shan, Dongsong Zhang, Lina Zhou, Automatic Depression Detection. INFORMS 2018.