Kai Shu
Kai Shu is a computer scientist, academic, and author. He is an assistant professor at Emory University.Shu's research explores big data, social media, and trustworthy AI, focusing on detecting fake news, analyzing social networks, enhancing cybersecurity, and investigating health informatics; he also holds three patents for his contributions. He is the lead author of ''Detecting Fake News on Social Media'', and the lead editor of ''Disinformation, Misinformation, and Fake News in Social Media''. He has received the NSF CAREER Award, the AI 2000 Most Influential Scholar Honorable Mention by Aminer, the Google Cloud Research Credits Award, and the College of Computing Dean's Excellence in Research Award from Illinois Tech. Provided by Wikipedia
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Digital Humanities and Buddhism : an Introduction /
Published 2019“…Tang, Kuo-Ming / Hsieh, Shu-Kai --…”
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Detecting fake news on social media by Shu, Kai, Liu, Huan 1958-
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Taiwanisch - Wort für Wort by Sommer, Katharina 1958-, Xie, Shu-Kai
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Detecting fake news on social media by Shu, Kai
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Detecting Fake News on Social Media by Shu, Kai
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Benchmarking, measuring, and optimizing 15th BenchCouncil International Symposium, Bench 2023, Sanya, China, December 3–5, 2023, revised selected papers
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Disinformation, misinformation, and fake news in social media emerging research challenges and opportunities
Published 2020Other Authors: “…Shu, Kai…”
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Combating Online Hostile Posts in Regional Languages during Emergency Situation First International Workshop, CONSTRAINT 2021, Collocated with AAAI 2021, Virtual Event, February 8,...
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Disinformation, misinformation, and fake news in social media emerging research challenges and opportunities
Published 2020Other Authors: “…Shu, Kai…”
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Chinese language resources data collection, linguistic analysis, annotation and language processing
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Mandarin Chinese words and parts of speech a corpus-based study
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Mandarin Chinese words and parts of speech a corpus-based study
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Fa gui zi liao xuan bian
法規資料選編Published 1984“…Guangzhou jing ji ji shu kai fa qu guan wei yuan hui tiao fa chu, guangzhou jing ji she hui fa zhan yan jiu zhong xin ban gong shi…”
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