World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
20906
World Ranking
6289
National Ranking
50

Overview

Meeyoung Cha is affiliated with the Korea Advanced Institute of Science and Technology in South Korea. Their research spans multiple areas within computer science and social sciences, focusing on intersections of technology, society, and communication.

The primary fields of study for Meeyoung Cha include:

  • Computer Science
  • Social Sciences

The subfields of study further detail the expertise as:

  • Artificial Intelligence
  • Sociology and Political Science
  • Communication
  • Statistical and Nonlinear Physics
  • Safety Research

Key research topics covered by Meeyoung Cha consist of:

  • Misinformation and Its Impacts
  • Ethics and Social Impacts of AI
  • Hate Speech and Cyberbullying Detection
  • Topic Modeling
  • Sentiment Analysis and Opinion Mining
  • Social Media and Politics
  • Complex Network Analysis Techniques

Significant recent papers authored or coauthored by Meeyoung Cha include:

  • "Emoticon Style: Interpreting Differences in Emoticons Across Cultures" (2021), Proceedings of the International AAAI Conference on Web and Social Media
  • "Perception Differences between the Depressed and Non-Depressed Users in Twitter" (2021), Proceedings of the International AAAI Conference on Web and Social Media
  • "Media Landscape in Twitter: A World of New Conventions and Political Diversity" (2021), Proceedings of the International AAAI Conference on Web and Social Media
  • "Misinformation, believability, and vaccine acceptance over 40 countries: Takeaways from the initial phase of the COVID-19 infodemic" (2022), PLoS ONE
  • "The Potential of Chatbots for Emotional Support and Promoting Mental Well-Being in Different Cultures: Mixed Methods Study" (2023), Journal of Medical Internet Research

Frequent coauthors who have collaborated extensively with Meeyoung Cha are:

  • Sungwon Han
  • Gabriel Lima
  • Sundong Kim
  • Jiyoung Han
  • Sungwon Park

The main publication venues where Meeyoung Cha's work appears repeatedly include:

  • arXiv (Cornell University)
  • Proceedings of the International AAAI Conference on Web and Social Media
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Journal of KIISE
  • Journal of Medical Internet Research

Best Publications

  • Measuring User Influence in Twitter: The Million Follower Fallacy

    Meeyoung Cha;Hamed Haddadi;Fabr´ıcio Benevenuto;Krishna P. Gummadi

  • I tube, you tube, everybody tubes: analyzing the world's largest user generated content video system

    Meeyoung Cha;Haewoon Kwak;Pablo Rodriguez;Yong-Yeol Ahn

  • On the evolution of user interaction in Facebook

    Bimal Viswanath;Alan Mislove;Meeyoung Cha;Krishna P. Gummadi

  • Characterizing user behavior in online social networks

    Fabrício Benevenuto;Tiago Rodrigues;Meeyoung Cha;Virgílio Almeida

  • A measurement-driven analysis of information propagation in the flickr social network

    Meeyoung Cha;Alan Mislove;Krishna P. Gummadi

  • Detecting rumors from microblogs with recurrent neural networks

    Jing Ma;Wei Gao;Prasenjit Mitra;Sejeong Kwon

  • Prominent Features of Rumor Propagation in Online Social Media

    Sejeong Kwon;Meeyoung Cha;Kyomin Jung;Wei Chen

  • Comparing and combining sentiment analysis methods

    Pollyanna Gonçalves;Matheus Araújo;Fabrício Benevenuto;Meeyoung Cha

  • Analyzing the video popularity characteristics of large-scale user generated content systems

    Meeyoung Cha;Haewoon Kwak;Pablo Rodriguez;Yong-Yeol Ahn

  • Rumor Detection over Varying Time Windows.

    Sejeong Kwon;Meeyoung Cha;Kyomin Jung

  • Watching television over an IP network

    Meeyoung Cha;Pablo Rodriguez;Jon Crowcroft;Sue Moon

  • Characterizing social cascades in flickr

    Meeyoung Cha;Alan Mislove;Ben Adams;Krishna P. Gummadi

  • Depressive Moods of Users Portrayed in Twitter

    Minsu Park;Chiyoung Cha;Meeyoung Cha

  • Emoticon Style: Interpreting Differences in Emoticons Across Cultures

    Jaram Park;Vladimir Barash;Clay Fink;Meeyoung Cha

  • The World of Connections and Information Flow in Twitter

    Meeyoung Cha;F. Benevenuto;H. Haddadi;K. Gummadi

  • Cross-Cultural Comparison of Nonverbal Cues in Emoticons on Twitter: Evidence from Big Data Analysis

    Jaram Park;Young Min Baek;Meeyoung Cha

  • Media landscape in Twitter: A world of new conventions and political diversity

    Jisun An;Meeyoung Cha;Krishna P. Gummadi;Jon Crowcroft

  • On word-of-mouth based discovery of the web

    Tiago Rodrigues;Fabrício Benevenuto;Meeyoung Cha;Krishna Gummadi

  • Perception Differences between the Depressed and Non-Depressed Users in Twitter

    Minsu Park;David W. McDonald;Meeyoung Cha

  • On next-generation telco-managed P2P TV architectures

    Meeyoung Cha;Pablo Rodriguez;Sue Moon;Jon Crowcroft

  • Characterizing user navigation and interactions in online social networks

    Fabrício Benevenuto;Tiago Rodrigues;Meeyoung Cha;Virgílio Almeida

Frequent Co-Authors

Krishna P. Gummadi
Krishna P. Gummadi Max Planck Institute for Software Systems
Sue Moon
Sue Moon Korea Advanced Institute of Science and Technology
Fabrício Benevenuto
Fabrício Benevenuto Universidade Federal de Minas Gerais
Jon Crowcroft
Jon Crowcroft University of Cambridge
Virgilio Almeida
Virgilio Almeida Universidade Federal de Minas Gerais
Haewoon Kwak
Haewoon Kwak Indiana University
Hamed Haddadi
Hamed Haddadi Imperial College London
Daniele Quercia
Daniele Quercia Nokia Bell Labs
Yong-Yeol Ahn
Yong-Yeol Ahn Indiana University
Yong Li
Yong Li Tsinghua University

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