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Lina Zhou
Lina Zhou
Professor of Business Information Systems and Operations Management
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Lina Zhou, Ph.D.
Professor, BISOM
Professor, Data Science and Business Analytics
lzhou8@charlotte.edu

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Office: Friday 359
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Charlotte, NC 28223

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Lina Zhou

Research Updates

Modeling and Interpreting the Propagation Influence of Neighbor Information in Time-Variant Networks with Exemplification by Financial Risk Prediction. Journal of Management Information Systems.

Information Technology Internal Control Material Weaknesses in Financial Reporting: Categories, Trends, Associations, and Industry Effects. International Journal of Accounting Information Systems.

Depression Detection on Social Media: A Classification Framework and Research Challenges and Opportunities, Journal of Healthcare Informatics Research.

From Artificial Intelligence (AI) to Intelligence Augmentation (IA): Design Principles, Potential Risks, and Emerging Issues. AIS Transactions on Human Computer Interaction.

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Research » Social Media Analytics

Social Media Analytics

Social media can serve as a rich data source for addressing a wide range of business, social, and personal problems. Social media analytics apply various analytical techniques to social media data to extract information, identify patterns, classify the content or users, and make predictions.

Selected Publications

Tao, J. and L. Zhou (2023), Can Online Consumer Reviews Signal Restaurant Closure: A Deep Learning Based Time Series Analysis, IEEE Transactions on Engineering Management, 70(3), 834-848.

Zhou, L, J. Tao, and K. Wang (2023), On Left and Right: Understanding the Discourse of Presidential Election in Social Media Communities, Hawaii International Conference on System Sciences (HICSS-56), January 3-6, HI, USA.

Zhao, K., L. Zhou, X. Zhao (2022). Multi-modal Emotion Expression and Online Charity Crowdfunding Success. Decision Support Systems. December, 163.

Dash, A., D. Zhang, and L. Zhou (2021), Personalized Ranking of Online Reviews based on Consumer Preferences in Product Features, International Journal on Electronic Commerce, 25(1), 29-50.

Aldkheel, A., L. Zhou, and K. Wang, Characterization of Domestic Violence through Self-disclosure in Social Media: A Case Study of the Time of COVID-19, IEEE International Conference on Intelligence and Security Informatics, San Antonio, TX, Nov. 2-3, 2021.

Tao, J. and L. Zhou (2020), A Weakly Supervised WordNet-guided Deep Learning Approach to Extracting Aspect Terms from Online Reviews, ACM Transactions on Management Information Systems, 11(3), 1-22.

Zhang, D., L. Zhou, and Jaewan Lim (2020) From Networking to Mitigation: The Role of Social Media and Analytics in Combating the COVID-19 Pandemic, Information Systems Management, 37:4, 318-326, DOI: 10.1080/10580530.2020.1820635

Kang, Y. and L. Zhou (2019), Helpfulness Assessment of Online Reviews: The Role of Semantic Hierarchy of Product Features, ACM Transactions on Management Information Systems, 10(3), 1-18.

Y. Liu and L. Zhou (2017), The Dynamics of Work-family Conflict: A Social Media Analytics Approach, Communications of the ACM, 60(6), June, 66-70.

Finin, T., Ding, L., Zhou, L, and Joshi A. (2005). Social networking on the semantic Web, The Learning Organization, 12(5), 418-435.

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