Professors
백현미 (Baek HyunMi)
- Position
- Associate Professor (Associate Dean)
- Phone Number
- 02-3290-2254
- Research Areas
- New media, data science
- Faculty Office
- Media Hall 404
- Degree
- PhD
- lotus1225@korea.ac.kr
Profile
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Professor Baek’s undergraduate and graduate classes cover media and data science, research design and application for data and analysis. She enjoys discussing with students about how to design and apply data science methodology in media industry such as online news, social media etc. Specifically, students in her class will learn programming skills and basic methodologies for data science so that they can design database and conduct social network analyses. By analyzing various types of data from the perspective of the media and communication specialists, students are expected to create new knowledge and insights unique and beneficial to diverse careers they will pursue in media industry and related fields. Her research interests include electronic word-of-mouth in social media, information adoption, and open collaboration by using data science methodology. She received her BS in chemical engineering from POSTECH, MA in IT management from KAIST and obtained her PhD in management from Seoul National University.
Publications
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1. Baek, H., Jang, M., & Kim, S. (2022). Who leaves malicious comments on online news? An empirical study in Korea. Journalism Studies, 23(4), 432-447. 2. Jang, M., Kim, D., & Baek, H. (2021). How do global audiences of TV shows take shape?: Evidence from Netflix. Applied Economics Letters, 1-7. 3. Baek, H., Lee, S., & Kim, S. (2021). Are female users equally active? An empirical study of the gender imbalance in Korean online news commenting. Telematics and Informatics, 62. doi:10.1016/j.tele.2021.101635 4. Lee, S., Lee, S., & Baek, H. (2021). Does the dispersion of online review ratings affect review helpfulness?. Computers in Human Behavior, 117. doi:10.1016/j.chb.2020.106670 5. Baek, H., Oh, S., Yang, H. D., & Ahn, J. (2017). Electronic word-of-mouth, box office revenue and social media. Electronic Commerce Research and Applications, 22, 13-23.