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Meeyoung Cha
PeerJ Editor, Author & Reviewer
250 Points

Contributions by role

Author 135
Reviewer 15
Editor 100

Contributions by subject area

Data Science
Network Science and Online Social Networks
Social Computing
Artificial Intelligence
Data Mining and Machine Learning
Natural Language and Speech
Emerging Technologies

Meeyoung Cha

PeerJ Editor, Author & Reviewer

Summary

Meeyoung Cha is an associate professor at Graduate School of Culture Technology in KAIST. Her research interests are in the analysis of large-scale online social networks. She received the best paper award from the Usenix/ACM SIGCOMM Internet Measurement Conference 2007 for her work on YouTube and the International Conference on Weblogs and Social Media 2012 for her work on social conventions. Her research has been featured at NYT and HBR.

Social Computing

Editorial Board Member

PeerJ Computer Science

Past or current institution affiliations

Korea Advanced Institute of Science & Technology

Work details

Associate Professor

KAIST
Graduate School of Culture Technology

PeerJ Contributions

  • Articles 1
  • Edited 1
July 31, 2017
Nowcasting commodity prices using social media
Jaewoo Kim, Meeyoung Cha, Jong Gun Lee
https://doi.org/10.7717/peerj-cs.126

Academic Editor on

January 6, 2020
Linking emotions to behaviors through deep transfer learning
Haoqi Li, Brian Baucom, Panayiotis Georgiou
https://doi.org/10.7717/peerj-cs.246