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Emiliano De Cristofaro
Researcher at University College London
Publications - 262
Citations - 9897
Emiliano De Cristofaro is an academic researcher from University College London. The author has contributed to research in topics: Social media & Computer science. The author has an hindex of 47, co-authored 251 publications receiving 7263 citations. Previous affiliations of Emiliano De Cristofaro include Boston University & Nokia.
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Paying for Likes? Understanding Facebook Like Fraud Using Honeypots
TL;DR: In this paper, the authors present a measurement study of page likes garnered via Facebook ads and by a few like farms, and analyze garnered likes based on likers' demographic, temporal, and social characteristics.
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Systematizing Genome Privacy Research: A Privacy-Enhancing Technologies Perspective
TL;DR: In this article, the current knowledge on privacy-enhancing technologies used for testing, storing, and sharing genomic data, using a representative sample of the work published in the past decade.
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Characterizing the Use of Images in State-Sponsored Information Warfare Operations by Russian Trolls on Twitter
Savvas Zannettou,Tristan Caulfield,Barry Bradlyn,Emiliano De Cristofaro,Gianluca Stringhini,Jeremy Blackburn +5 more
TL;DR: The first study of images shared by state-sponsored accounts by analyzing a ground truth dataset of 1.8M images posted to Twitter by accounts controlled by the Russian Internet Research Agency shows that the trolls were more effective in disseminating politics-related imagery than other images.
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Controlled Data Sharing for Collaborative Predictive Blacklisting
TL;DR: In this article, the authors investigate whether collaborative threat mitigation can be realized via a controlled data sharing approach, whereby organizations make informed decisions as to whether or not, and how much, to share.
Journal ArticleDOI
"How over is it?" Understanding the Incel Community on YouTube
Kostantinos Papadamou,Savvas Zannettou,Jeremy Blackburn,Emiliano De Cristofaro,Gianluca Stringhini,Michael Sirivianos +5 more
TL;DR: In this paper, the authors analyzed the evolution of the Incel community on YouTube by focusing on this community's evolution over the last decade and understanding whether YouTube's recommendation algorithm steers users towards Incel-related videos.