Cha Meeyoung

Cha Meeyoung, sometimes known as Mia, is an associate professor at KAIST in the School of Computing and a chief investigator in the Pioneer Research Center for Mathematical and Computational Sciences at the Institute for Basic Science. Her research focuses on network and data science with an emphasis on modeling, analyzing complex information propagation processes, machine learning-based computational social science, and deep learning. She has served on the editorial boards of the journals PeerJ and ACM Transactions on Social Computing.

In this Korean name, the family name is Cha.
Cha Meeyoung
Born (1979-07-28) July 28, 1979
NationalitySouth Korean
Other namesMia
Alma materKAIST
Known forMeasuring User Influence in Twitter: The Million Follower Fallacy
Scientific career
FieldsSocial computing, complex networks, data science, social networking services
InstitutionsMax Planck Institute for Software Systems, KAIST, SK Telecom, Korea Internet Self-Governance Organization, Facebook, Institute for Basic Science
Theses
Doctoral advisorsMoon Sue
Other academic advisorsKim Taewhan
Korean name
Hangul
Hanja
Revised RomanizationCha Miyeong
McCune–ReischauerCh'a Miyŏng
WebsitePRC for Mathematical and Computational Sciences - Data Science Group

Education

The entirety of Meeyoung's higher education has taken place at the Korea Advanced Institute of Science and Technology (KAIST) in Daejeon, South Korea. Majoring in computer science, she graduated magna cum laude for her B.S. The adviser for her M.S. was Kim Taewhan, and her Ph.D. was supervised by Sue Moon.

Career

In 2008, Meeyoung worked as a postdoc in Max Planck Institute for Software Systems[1] under adviser Krishna Gummadi.[2] Leaving Max Planck, she returned to her alma mater and became an assistant professor in the Graduate School of Culture Technology[3] later becoming an associate professor joint faculty member in the School of Computing.[4] Outside of KAIST, she worked as a scientific and technical consultant for both SK Telecom and the Korea Internet Self-Governance Organization in 2010 and 2014, respectively.

In 2015, Meeyoung went to Menlo Park to work as a visiting professor with Facebook's Data Science Team[5] hosted by Lada Adamic. In 2019, she and Oum Sang-il were the founding chief investigators of the Pioneer Research Center for Mathematical and Computational Sciences at the Institute for Basic Science (IBS). This and the Pioneer Research Center for Biomolecular and Cellular Structure are the first of two such centers at IBS.[6][7][8] Headed by Meeyoung, the Data Science Group researches fake news, perception biases in relation to AI, deep learning of heterogeneous data for modeling human behavior, and prediction efforts through language processing and image analysis.[9] Seeing the infodemic on COVID-19 information starting in China and spreading to Korea and the US, the Data Science Group and researchers from Ewha Womans University, started the multilingual Facts Before Rumors campaign to separate common claims seen online.[10][11][12][13]

Awards and honors
  • 2020: Test of Time Award, International Conference on Web and Social Media[14][15]
  • 2019: Young Information Scientist Award[16]
  • 2016: Lifetime member, Korean Institute of Information Scientists and Engineers (ko)
  • 2012: Best Paper, International AAAI Conference on Web and Social Media[17][18][19]
  • 2009: Best Data Workshop Paper, 3rd Int'l AAAI Conference on Weblogs and Social Media[20]
  • 2007: Best Paper, ACM Internet Measurement Conference[21]

Editorial boards

Selected publications
  1. Cha, Meeyoung; Haddadi, Hamed; Benevenuto, Fabr´ıcio; Gummadi, Krishna P. (2010). "Measuring User Influence in Twitter: The Million Follower Fallacy". Proceedings of the Fourth International AAAI Conference on Weblogs and Social Media. Association for the Advancement of Artificial Intelligence. pp. 10–17. OCLC 780600252. Retrieved 20 January 2020.
  2. Cha, Meeoung; Kwak, Haewoon; Rodriguez, Rodriguez; Ahn, Yong-Yeol; Moon, Sue (24 October 2007). "I Tube, You Tube, Everybody Tubes: Analyzing the World's Largest User Generated Content Video System" (PDF). Proceedings of the 7th ACM SIGCOMM conference on Internet measurement. 7th ACM SIGCOMM conference on Internet measurement.
  3. Viswanath, Bimal; Mislove, Alan; Cha, Meeyoung; Gummadi, Krishna P. "On the Evolution of User Interaction in Facebook" (PDF). Proceedings of the 2nd ACM workshop on Online social networks. 2nd ACM workshop on Online social networks. ACM. pp. 37–42. Archived from the original (PDF) on 18 September 2017.
  4. Benevenuto, Fabrício; Rodrigues, Tiago; Cha, Meeyoung; Almeida, Virgílio (4 November 2009). "Characterizing User Behavior in Online Social Networks" (PDF). Proceedings of the 9th ACM SIGCOMM conference on Internet measurement. 9th ACM SIGCOMM conference on Internet measurement. ACM. pp. 49–62. Retrieved 20 January 2020.

References
  1. "Program Co-chair: Meeyoung Cha". The 9th International Conference on Web and Social Media. Retrieved 20 January 2020.
  2. "Meeyoung Cha Associate Professor". Data Science Lab. KAIST. Retrieved 20 January 2020.
  3. Kim, Hoh; Park, Jaram; Cha, Meeyoung; Jeong, Jaeseung (7 May 2015). "The Effect of Bad News and CEO Apology of Corporate on User Responses in Social Media: About the Authors". PLOS One. Public Library of Science. 10 (5): e0126358. doi:10.1371/journal.pone.0126358. Retrieved 20 January 2020. AFFILIATION Graduate School of Culture Technology, Korea Advanced Institute of Science and Technology (KAIST), 305–701, Daejeon, Republic of Korea
  4. "Faculty Meeyoung Cha". School of Computing. KAIST. Retrieved 20 January 2020.
  5. "[세미나] Explaining the Punishment Gap of AI and Robots - 차미영 교수 (KAIST)". Graduate School of Information Security. KAIST. 15 October 2019. Retrieved 20 January 2020.
  6. 윤, 희은 (2 December 2018). "IBS, '젊은 연구자 주축' 연구단 출범". 한국경제 (in Korean). Retrieved 20 January 2020.
  7. 이, 준기 (2 December 2018). "IBS, 젊은 과학자 3명 주축 `새 연구단` 출범". 디지털타임스 (in Korean). The DigitalTimes. Retrieved 20 January 2020.
  8. 남, 도영 (2 December 2018). "IBS, 2개 연구단 새로 출범…30~40대 연구원 포진". 뉴스1 (in Korean). Retrieved 20 January 2020.
  9. "Overview". IBS Data Science Group. Institute for Basic Science. Retrieved 31 March 2020.
  10. ""Fact before rumors" campaign just began by the IBS Data Science Group". Institute for Basic Science. 26 March 2020. Retrieved 31 March 2020.
  11. Cha Meeyoung (24 March 2020). "코로나바이러스와 인포데믹". Institute for Basic Science (in Korean). Retrieved 30 March 2020.
  12. ""동남아·남미 코로나 가짜뉴스 막고 '진짜뉴스' 전하자" 국내 과학자 팔 걷어". Donga Science (in Korean). 25 March 2020. Retrieved 30 March 2020.
  13. "[차미영의 데이터로 본 세상] '인포데믹'의 시대". 한국경제 (in Korean). 25 March 2020. Retrieved 30 March 2020.
  14. International Conference on Web and Social Media [@icwsm] (16 June 2020). "ICWSM 2020 Test of Time Award" (Tweet). Retrieved 16 June 2020 – via Twitter.
  15. "전산학부 차미영 교수, AAAI ICWSM Test of Time Award 수상". KAIST (in Korean). 12 June 2020. Retrieved 16 June 2020.
  16. 김, 태우 (23 December 2019). "차미영 기초과학연구원 CI, '제4회 젊은 정보과학자상' 수상". 더리포트 (in Korean). Retrieved 20 January 2020.
  17. "Publications". Social Computing Research @ MPI-SWS. Max Planck. 2012. Retrieved 20 January 2020.
  18. 육, 심무 (4 July 2012). "KAIST 차미영 교수, 국제학회 최우수 논문상 수상". 뉴스1 (in Korean). Retrieved 20 January 2020.
  19. "KAIST 차미영 교수 '최우수논문상'". 한국경제 (in Korean). 4 July 2012. Retrieved 20 January 2020.
  20. "ICWSM 2009 Data Challenge". 3rd Int'l AAAI Conference on Weblogs and Social Media (in Korean). 2009. Retrieved 20 January 2020.
  21. "Meeyoung Cha Associate Processor". Graduate School of Culture Technology. KAIST. Archived from the original on 5 April 2017. Retrieved 20 January 2020.
  22. "Academic Editor Meeyoung Cha". PeerJ (in Korean). PeerJ, Inc. Retrieved 20 January 2020.
  23. 전체관리자 (23 December 2019). "차미영 CI, '제4회 젊은정보과학자상' 수상: 소셜컴퓨팅 분야 학계 선도하는 젊은 여성과학자로 인정". Institute for Basic Science (in Korean). Retrieved 20 January 2020.
  24. "Editorial Board". ACM Transactions on Social Computing. ACM Journals. Retrieved 20 January 2020.
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