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Meeyoung Cha is an associate professor at the School of Computing and a joint faculty member at Gradudate School of Culture Technology at KAIST, Korea. Her research interests are in network science, computational social science, and statistical inference. She received the best paper awards at ACM IMC 2007 for analyzing long-tail videos in YouTube and at ICWSM 2012 for studying social conventions in Twitter. Her research has been published in leading journals and conferences including PLoS One, Information Sciences, WWW, and ICWSM, and has been featured at the popular media outlets including the New York Times websites, Harvard Business Review’s research blog, the Washington Post, the New Scientist. She worked at the Facebook Data Science Team as a Visiting Professor.