name---->Meeyoung Cha(字串長度:12)---->(字串長度:0)```name2---->Meeyoung Cha(字串長度:12)---->(字串長度:0)```front_photo---->https://drive.google.com/open?id=0B7s_TAiINyuFZWlfV1ZsekVUbHc(字串長度:61)---->(字串長度:0)```talk_title---->Detecting Rumors and Fake News Online(字串長度:37)---->Yi-Bing Lin is Winbond Chair Professor of National Chiao Tung University (NCTU). He received his Bachelor’s degree from National Cheng Kung University, Taiwan, in 1983, and his Ph.D. from the University of Washington, USA, in 1990. From 1990 to 1995 he was a Research Scientist with Bellcore (Telcordia). He then joined NCTU, where he remains. In 2011, Lin became the Vice President of NCTU. Since 2014, Lin has been appointed as the Deputy Minister of Ministry of Science and Technology, Taiwan. After 2016, he become a lifetime Chair Professor of NCTU. After 2019, he become Winbond Chair Professor of NCTU. Lin is the author of the books Wireless and Mobile Network Architecture (Wiley, 2001), Wireless and Mobile All-IP Networks (John Wiley,2005), and Charging for Mobile All-IP Telecommunications (Wiley, 2008). Lin received numerous research awards including 2005 NSC Distinguished Researcher, 2006 Academic Award of Ministry of Education and 2008 Award for Outstanding contributions in Science and Technology, Executive Yuen, 2011 National Chair Award, and TWAS Prize in Engineering Sciences, 2011 (The World Academy of Sciences). Lin is AAAS Fellow, ACM Fellow, IEEE Fellow, and IET Fellow.(字串長度:1200)```company---->KAIST School of Computing (字串長度:26)---->終生講座教授(字串長度:18)```position---->Associate Professor(字串長度:19)---->農譯科技(字串長度:12)```desc---->Social platforms are an ideal place for spreading rumors and fake news. As more people seek information and read news online, automatically debunking such false claims has become an urgent problem. Recent years have seen great advances in data-driven rumor research. This talk will review some of its major developments, including how a comprehensive set of user, structural, linguistic, and temporal features help us better understand their propagation processes. In detecting rumors and fake news in the wild, time becomes a critical factor. This talk will present how the significance of features changes by time and which features are prominent for early detection. I will also highlight the latest detection studies with deep learning techniques.   Short Bio Meeyoung Cha is an associate professor at School of Computing in KAIST. Her research interests are in the analysis of complex network systems including online social networks with emphasis the spread of information, moods, and user influence. 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, IJCAI, 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. Dr. Cha has worked at Facebook's Data Science Team as a Visiting Professor for a year.(字串長度:1554)---->有
(字串長度:4)```me_desc---->Meeyoung Cha is an associate professor at School of Computing in KAIST. Her research interests are in the analysis of complex network systems including online social networks with emphasis the spread of information, moods, and user influence. 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, IJCAI, 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. Dr. Cha has worked at Facebook's Data Science Team as a Visiting Professor for a year.(字串長度:790)---->(字串長度:0)