| 50. Abbasi, A., Chiang, R. H. L., and Xu, J. “Data Science for Social Good,” Journal of the Association for Information Systems, 24(6), 2023. PDF |
| 49. Abbasi, A., Merrill, R. L., Rao, R., and Sheng, O. “Preparedness and Response in the Century of Disasters: Overview of Research Frontiers,” Information Systems Research, forthcoming. |
| 48. Kitchens, B., Claggett, J., and Abbasi, A. “Timely, Granular, and Actionable: Designing a Social Listening Platform for Public Health 3.0,” MIS Quarterly, forthcoming. |
| 47. Somanchi, S., Abbasi, A., Kelley, K., Dobolyi, D., and Yuan, T. “Examining User Heterogeneity in Digital Experiments,” ACM Transactions on Information Systems, 41(4), 2023, no. 100. PDF |
| 46. Seyedi, S., Griner, E., Corbin, L., Jiang, Z. Iacobelli, L., Milloy, A., Boazak, M. Bahrami Rad, A., Abbasi, A., Cotes, R. O., Clifford, G. D. “A Comparison of HIPAA-Compliant Transcription Services for Virtual Psychiatric Interviews,” JMIR Mental Health, 10(1), 2023, e48517. PDF |
| 45. Yang, K., Lau, R. Y. K., and Abbasi, A. “Getting Personal: A Deep Learning Artifact for Text-based Measurement of Personality,” Information Systems Research, 34(1), 2023, pp. 194-222. PDF |
| 44. Ahmad, F., Abbasi, A., Kitchens, B., Adjeroh, D., and Zeng, D. “Deep Learning for Adverse Event Detection from Web Search,” IEEE Transactions on Knowledge and Data Engineering, 34(6), 2022, pp. 2681-2695. PDF |
| 43. Abbasi, A., Dobolyi, D.,Vance, T., and Zahedi, F. M. “The Phishing Funnel Model: A Design Artifact to Predict User Susceptibility to Phishing Websites,” Information Systems Research, 32(2), 2021, pp. 410-436. PDF Appendices |
| 42. Chen, Y., Zahedi, F. M., Abbasi, A., and Dobolyi, D. “Trust Calibration of Security IT Artifacts: A Multi-Domain Study of Phishing-Website Detection Tools,” Information and Management, 58(1), 2021, 103394. PDF |
| 41. Li, J., Larsen, K., and Abbasi, A. “TheoryOn: A Design Framework and System for Unlocking Behavioral Knowledge through Ontology Learning,” MIS Quarterly, 44(4), 2020, pp. 1733-1772. PDF Appendices |
| 40. Li, J., Abbasi, A., Cheema, A., and Abraham, L. “Path to Purpose? How Online Customer Journeys Differ for Hedonic versus Utilitarian Purchases,” Journal of Marketing, 84(4), 2020, pp. 127-146. PDF |
| 39. Ahmad, F., Abbasi, A., Li, J., Dobolyi, D., Netemeyer, R., Clifford, G., and Chen, H. “A Deep Learning Architecture for Psychometric Natural Language Processing,” ACM Transactions on Information Systems, 38(1), 2020, no. 6. PDF |
| 38. Netemeyer, R., Dobolyi, D., Abbasi, A., Clifford, G., and Taylor, H. “Health Literacy, Health Numeracy and Trust in Doctor: Effects on Key Consumer Health Outcomes,” Journal of Consumer Affairs, 54(1), 2020, pp. 3-42. PDF |
| 37. Abbasi, A., Li, J., Adjeroh, D., Abate, M., and Zheng W. “Don’t Mention It? Analyzing User-generated Content Signals for Early Adverse Event Warnings,” Information Systems Research, 30(3), 2019, pp. 1007-1028. PDF |
| 36. Abbasi, A., Kitchens, B., and Ahmad, F. “The Risks of AutoML and How to Avoid Them,” Harvard Business Review, October 24, 2019, digital article: https://hbr.org/2019/10/the-risks-of-automl-and-how-to-avoid-them |
| 35. Deng, S., Zhang, P., Zhou, Y., and Abbasi, A. “Using Discussion Logic in Analyzing Online Group Discussions: A Text Mining Approach,” Information and Management, 56(4), 2019, pp. 536-551. PDF |
| 34. Abbasi, A., Li, J., Clifford, G. D., and Taylor, H. A, “Make ‘Fairness By Design’ Part of Machine Learning,” Harvard Business Review, August 5, 2018, digital article: https://hbr.org/2018/08/make-fairness-by-design-part-of-machine-learning |
| 33. Kitchens, B., Dobolyi, D., Li, J., and Abbasi, A. “Advanced Customer Analytics: Strategic Value through Integration of Relationship-Oriented Big Data,” Journal of Management Information Systems, 35(2), 2018, pp. 540-574. PDF |
| 32. Abbasi, A. Zhou, Y., Deng, S., and Zhang, P. “Text Analytics to Support Sense-making in Social Media: A Language-Action Perspective,” MIS Quarterly, 42(2), 2018, pp. 427-464. PDF Appendices |
| 31. Zimbra, D., Abbasi, A., Zeng, D., and Chen, H. “The State-of-the-Art in Twitter Sentiment Analysis: A Review and Benchmark Evaluation,” ACM Transactions on Management Information Systems, 9(2), 2018, no. 5. PDF |
| 30. Taylor, H. A., Henderson, F., Abbasi, A., and Clifford, G. D., “Cardiovascular Disease in African Americans: Innovative Community Engagement for Research Recruitment and Impact,” American Journal of Kidney Diseases, 72(5)(Supp 1), 2018, S43-S46. PDF |
| 29. Adjeroh, D., Allaga, M., Tan, J., Lin, J., Jiang, Y., Abbasi, A., and Zhou, X. “Feature-Based and String-Based Models for Predicting RNA-Protein Interaction,” Molecules, 23(3), 2018, 697. PDF |
| 28. Abbasi, A., Sarker, S., and Chiang, R. H. L. “Big Data Research in Information Systems: Toward an Inclusive Research Agenda,” Journal of the Association for Information Systems, 17(2), no. 3, 2016. PDF |
| 27. Zahedi, F. M., Abbasi, A., and Chen, Y. “Fake-Website Detection Tools: Identifying Design Elements that Promote Individuals’ Use and Enhance their Performance,” Journal of the Association for Information Systems, 16(6), 2015, pp. 448-484. PDF |
| 26. Abbasi, A., Zahedi, F. M., Zeng, D., Chen, Y., Chen, H., and Nunamaker Jr., J. F. “Enhancing Predictive Analytics for Anti-Phishing by Exploiting Website Genre Information,” Journal of Management Information Systems, 31(4), 2015, pp. 109-157. PDF |
| 25. Abbasi, A., Lau, R. Y. K., and Brown, D. E. “Predicting Behavior,” IEEE Intelligent Systems, 30(3), 2015, pp. 35-43. PDF |
| 24. Brown, D. E., Abbasi, A., and Lau, R. Y. K., “Predictive Analytics: Predictive Modeling at the Micro Level,” IEEE Intelligent Systems, 30(3), 2015, pp. 6-8. PDF |
| 23. Brown, D. E., Abbasi, A., and Lau, R. Y. K., “Predictive Analytics,” IEEE Intelligent Systems, 30(2), 2015, pp. 6-8. PDF |
| 22. Abbasi, A. and Adjeroh, D. “Social Media Analytics for Smart Health,” IEEE Intelligent Systems, 29(2), 2014, pp. 60-64. PDF |
| 21. Adjeroh, D., Beal, R., Abbasi, A., Zheng, W., Abate, M., and Ross, A. “Signal Fusion for Social Media Analysis of Adverse Drug Events,” IEEE Intelligent Systems, 29(2), 2014, pp. 74-80. PDF |
| 20. Benjamin, V., Chung, W., Abbasi, A., Chuang, J., Larson, C. A., and Chen, H. “Evaluating Text Visualization for Authorship Analysis,” Security Informatics, 3(10), 2014. |
| 19. Zhang, Z., Zeng, D., Abbasi, A., Peng, J., and Zheng, X. “A Random Walk Model for Item Recommendation in Social Tagging Systems,” ACM Transactions on Management Information Systems, 4(2), 2013, no. 8. PDF |
| 18. Abbasi, A., Albrecht, C. C., Vance, A., and Hansen, J. V. “MetaFraud: A Meta-learning Framework for Detecting Financial Fraud,” MIS Quarterly, 36(4), 2012, pp. 1293–1327. PDF Appendices |
| 17. Fu, T., Abbasi, A., Zeng, D., and Chen, H. “Sentimental Spidering: Leveraging Opinion Information in Focused Crawlers,” ACM Transactions on Information Systems, 30(4), 2012, no. 24. PDF |
| 16. Abbasi, A., Zahedi, F. M., and Kaza, S. “Detecting Fake Medical Web Sites using Recursive Trust Labeling,” ACM Transactions on Information Systems, 30(4), 2012, no. 22. PDF |
| 15. Abbasi, A., France, S. L., Zhang, Z., and Chen, H. “Selecting Attributes for Sentiment Classification using Feature Relation Networks,” IEEE Transactions on Knowledge and Data Engineering, 23(3), 2011, pp. 447-462. PDF |
| 14. Zimbra, D., Abbasi, A., and Chen, H. “A Cyber-Archaeology Approach to Social Movement Research: Framework and Case Study,” Journal of Computer-Mediated Communication, 16, 2010, pp. 48-70. PDF |
| 13. Abbasi, A. “Intelligent Feature Selection for Opinion Classification,” IEEE Intelligent Systems, 25(4), 2010, pp. 75-79. PDF |
| 12. Abbasi, A., Zhang, Z., Zimbra, D., Chen, H., and Nunamaker Jr., J. F. “Detecting Fake Websites: The Contribution of Statistical Learning Theory,” MIS Quarterly, 34(3), 2010, pp. 435-461, MISQ Best Paper Award for 2010, AIS 5 Best Publications for 2010. PDF |
| 11. Fu, T., Abbasi, A., and Chen, H. “A Focused Crawler for Dark Web Forums,” Journal of the American Society for Information Science and Technology, 61(6), 2010, pp. 1213-1231. PDF |
| 10. Chen, Y. Abbasi, A., and Chen, H. “Framing Social Movement Identity with Cyber-Artifacts: A Case Study of the International Falun Gong Movement,” Annals of Information Systems, 9, 2010, pp. 1-24. PDF |
| 9. Abbasi, A. and Chen, H. “A Comparison of Tools for Detecting Fake Websites,” IEEE Computer, 42(10), 2009, pp. 78-86. PDF |
| 8. Abbasi, A. and Chen, H. “A Comparison of Fraud Cues and Classification Methods for Fake Escrow Website Detection,” Information Technology and Management, 10(2), 2009, pp. 83-101. PDF |
| 7. Abbasi, A., and Chen, H. “CyberGate: A Design Framework and System for Text Analysis of Computer-Mediated Communication,” MIS Quarterly, 32(4), 2008, pp. 811-837. PDF |
| 6. Abbasi, A., Chen, H., Thoms, S., and Fu, T. “Affect Analysis of Web Forums and Blogs using Correlation Ensembles,” IEEE Transactions on Knowledge and Data Engineering, 20(9), 2008, pp. 1168-1180. PDF |
| 5. Abbasi, A., Chen, H., and Nunamaker Jr., J. F. “Stylometric Identification in Electronic Markets: Scalability and Robustness,” Journal of Management Information Systems, 25(1), 2008, pp. 49-78. PDF |
| 4. Abbasi, A., Chen, H., and Salem, A. “Sentiment Analysis in Multiple Languages: Feature Selection for Opinion Classification in Web Forums,” ACM Transactions on Information Systems, 26(3), 2008, no. 12. PDF |
| 3. Fu, T., Abbasi, A., and Chen, H. “A Hybrid Approach to Web Forum Interactional Coherence Analysis,” Journal of the American Society for Information Science and Technology, 59(8), 2008, pp. 1195-1209. PDF |
| 2. Abbasi, A., and Chen, H. “Writeprints: A Stylometric Approach to Identity-Level Identification and Similarity Detection in Cyberspace,” ACM Transactions on Information Systems, 26(2), 2008, no. 7. PDF |
| 1. Abbasi, A., and Chen, H. “Applying Authorship Analysis to Extremist-Group Web Forum Messages,” IEEE Intelligent Systems, 20(5), 2005, pp. 67-75. PDF |