Joseph Yun

Joseph Yun

Research Assistant Professor of Accountancy and Director of the Data Science Research Service

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Biography

Joseph Yun is a research assistant professor of accounting and director of Data Science Research Services at Gies College of Business at the University of Illinois at Urbana-Champaign. He also has affiliations with the Charles H. Sandage Department of Advertising, the National Center for Supercomputing Applications, Illinois Informatics, and the Center for Health Informatics. Yun’s research is primarily focused on novel data science algorithms, user-centric analytics systems, and societal considerations of AI-based advertising and marketing (e.g., privacy, ethics). Yun is also the principal investigator of the Social Media Macroscope, which is an open research environment for social media analytics (socialmediamacroscope.org).

Contact

2046 Business Instructional Facility

515 Gregory Drive

Champaign, IL 61820

217-333-8178

jtyun@illinois.edu

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Listings

Educational Background

  • PhD, Informatics, University of Illinois at Urbana-Champaign, 2018
  • M.S., Advertising, University of Illinois at Urbana-Champaign, 2014
  • B.S., Computer Science, University of Illinois at Urbana-Champaign, 2001

Positions Held

  • Director of the Data Science Research Service, University of Illinois at Urbana-Champaign, 2019 to present
  • Research Assistant Professor of Accountancy, University of Illinois at Urbana-Champaign, 2019 to present

Recent Publications

  • Yun, J., Segijn, C., Pearson, S., Malthouse, E., Konstan, J., & Shankar, V. (2020). Challenges and Future Directions of Computational Advertising Measurement Systems. Journal of Advertising, Taylor & Francis, 49 (4), 446-458.  link >
  • Yun, J., Duff, B., Vargas, P., Sundaram, H., & Himelboim, I. (2019). Computationally Analyzing Social Media Text for Topics: A Primer for Advertising Researchers. Journal of Interactive Advertising, Taylor and Francis, 20 (1), 47-59.  link >
  • Yun, J. (2019). Staying Ahead of the Data Tsunami - The Social Media Macroscope Helps Researchers Go with the Big Data Flow. Science Node.
  • Yun, J., Vance, N., Wang, C., Marini, L., Troy, J., Donelson, C., Chin, C., & Henderson, M. (2019). The Social Media Macroscope: A Science Gateway for Research Using Social Media Data. Future Generation Computer Systems, Elsevier.  link >
  • Yun, J., Duff, B., Vargas, P., Himelboim, I., & Sundaram, H. (2019). Can We Find the Right Balance in Cause-Related Marketing? Analyzing the Boundaries of Balance Theory in Evaluating Brand-Cause Partnerships. Psychology & Marketing, Wiley, 36 (11), 989-1002.  link >
  • Yun, J., Pamuksuz, U., & Duff, B. (2019). Are We Who We Follow? Computationally Analyzing Human Personality and Brand Following on Twitter. International Journal of Advertising, Taylor and Francis, 38 (5), 776-795.  link >

Other Publications

Conference Proceedings

  • Wang, C., Marini, L., Chin, C., Vance, N., Donelson, C., Meunier, P., & Yun, J. Forthcoming. Social Media Intelligence and Learning Environment: An Open Source Framework for Social Media Data Collection, Analysis and Curation. 2019 15th International Conference on eScience (eScience: IEEE.  link >

Working Papers

  • Pamuksuz, U., Yun, J., & Humphreys, A. A Brand New Look at You: Predicting Brand Personality in Social Media with Machine Learning.

Current Courses

  • Applying Analy Across Bus Func (MBA 564) Covers analytics through the application of analytical techniques in the financial and marketing context. Topics covered include forecasting using time series models, modern portfolio theory, measurement and scaling, A/B testing, ANOVA, and conjoint analysis. The primary software tool used will be the R programming language. No prior programming experience is required.

Contact

2046 Business Instructional Facility

515 Gregory Drive

Champaign, IL 61820

217-333-8178

jtyun@illinois.edu

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