PPT-Aiding the Detection of Fake Accounts in Large Scale Social Online Services

Author : lindy-dunigan | Published Date : 2018-10-28

Qiang Cao Duke University Michael Sirivianos Xiaowei Yang Tiago Pregueiro Cyprus Univ of Technology Duke University Tuenti

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Aiding the Detection of Fake Accounts in Large Scale Social Online Services: Transcript


Qiang Cao Duke University Michael Sirivianos Xiaowei Yang Tiago Pregueiro Cyprus Univ of Technology Duke University Tuenti. By. Chi . Bemieh. . Fule. August 6, 2013. THESIS PRESENTATION . Outline. . of. . today’s. presentation. Justification of the study. Problem . statement. Hypotheses. Conceptual. . framework. Research . Media for Businesses. #. awesomelegalpresentation. Tony Zana. March 11, 2014. Legal Disclaimers. Thes. e. . material. s. . hav. e. . bee. n. . prepared. . solely fo. r. educationa. l. . purpose. Xin. Luna Dong. Divesh. . Srivastava. 1. Outline. Motivation. Why does copy detection matter?. Examples of copying, not copying. Copy detection. In documents. In software. In databases. Summary. 2. 600.466. Social Media?. Properties of Social Media : Scale. Twitter (Chirp 2010). More than 100M user accounts. more than 600M search queries a day. 55M tweets a day. Facebook. More than 400M active users. Major newspapers . have been hemorrhaging . money and . staff. (50% decline since 2000) Craigslist helped kill newspapers. Yet online news sites . are exploding, and some . low quality ones . have . far more . 1. Media Production . All content and information . needs to be approved . before it was aired or published by traditional "gatekeepers" such as newspaper editors, publishers and news shows. - in the 1970s and 1980s.. on Online Social Networking. Group Members. :. Sunghun Park. Venkat Kotha. Li Wang . Wenzhi Cai. Outline. Problem Overview. Current Solutions. Limitations of Current Solutions. Conclusion . Our Solution. Chapter 1. 1. Chapter. 1, . Community Detection and Mining in Social Media.  Lei Tang and Huan Liu, Morgan & Claypool, September, 2010. . Traditional Media. Broadcast Media: One-to-Many. Communication Media: One-to-One. 29% 2% Russia China 35% U.S. SOURCES OF DISTRUST IN THE INTERNET CYBERCRIMINALS (82%) OWN GOVERNMENT (54%) SOCIAL MEDIA (76%) FOREIGN GOVERNMENT (67%) In Sweden, 76% of people say that social me Twitter Mahew HindmanGeorge Washington UniversityOCTOBER 2018Vlad BarashGraphika 2 Executive Summary IntroductionA Problem Both Old and NewDening Fake News OutletsBots, Trolls and ‘Cybo It’s no secret that this world we live in can be pretty stressful sometimes. If you find yourself feeling out-of-sorts, pick up a book.According to a recent study, reading can significantly reduce stress levels. In as little as six minutes, you can reduce your stress levels by 68%. In the age of digitalization, many aspects of our lives have been simplified, including shopping and financial Institute of High Energy Physics, CAS. Wang Lu (Lu.Wang@ihep.ac.cn). Agenda. Introduction. Challenges and requirements of anomaly detection in large scale storage systems . Definition and category of anomaly. Faculty Advisor: Dr. Nasheen Nur, Dept. of Computer Engineering and Sciences, Florida Institute of Technology. . Abstract. :. In the modern age, social media has become a common aspect of society. Social media has opened new .

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