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Youtube User and Usage Profiling: Stories of Political Horror and Security Success

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E-Business and Telecommunications (ICETE 2013)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 456))

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Abstract

Social media and Web 2.0 have enabled internet users to contribute online content, which may be crawled and utilized for a variety of reasons, from personalized advertising to behaviour prediction/profiling. In this paper, our goal is to present a horror and a success story from the digital world of Social Media, in order to: (a). present a political affiliation profiling method, the Panopticon method, in order to reveal this threat and contribute in raising the social awareness over it. (b). describe an insider threat prediction method by evaluating the predisposition towards law enforcement and authorities, a personal psychosocial trait closely connected to the manifestation of malevolent insiders. The experimental test case of both methodologies is an extensive Greek community of YouTube users. In order to demonstrate our cases, we performed graph theoretic and content analysis of the collected dataset and showed how and what kind of personal data can be derived via data mining on publicly available YouTube data. As both methodologies set user’s privacy and dignity at stake, we provide the reader with an analysis of the legal means for each case, so as to effectively be prevented from a privacy violation threat and also present the exceptional cases, such as the selection of security officers of critical infrastructures, where such methodologies could be used.

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Authors and Affiliations

  1. Information Security and Critical Infrastructure Protection Laboratory, Department of Informatics, Athens University of Economics and Business, 76 Patission Ave., GR10434, Athens, Greece

    Miltiadis Kandias, Lilian Mitrou, Vasilis Stavrou & Dimitris Gritzalis

Authors
  1. Miltiadis Kandias
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  2. Lilian Mitrou
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  3. Vasilis Stavrou
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  4. Dimitris Gritzalis
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Corresponding author

Correspondence to Miltiadis Kandias .

Editor information

Editors and Affiliations

  1. Department of Computer Science, Monmouth University, West Long Branch, New Jersey, USA

    Mohammad S. Obaidat

  2. Polytechnic Institute of Setúbal, INSTICC, Setúbal, Portugal

    Joaquim Filipe

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Kandias, M., Mitrou, L., Stavrou, V., Gritzalis, D. (2014). Youtube User and Usage Profiling: Stories of Political Horror and Security Success. In: Obaidat, M., Filipe, J. (eds) E-Business and Telecommunications. ICETE 2013. Communications in Computer and Information Science, vol 456. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44788-8_16

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  • DOI: https://doi.org/10.1007/978-3-662-44788-8_16

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