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Automatic detection of multiple account deception in social media.

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  • Additional Information
    • Author-Supplied Keywords:
      collaborative project
      deception
      fake account
      identity
      machine learning application
      manipulation
      multiple identity
      social media
      Sockpuppet
      Wikipedia
    • NAICS/Industry Codes:
      519130 Internet Publishing and Broadcasting and Web Search Portals
      517110 Wired Telecommunications Carriers
    • Abstract:
      Nowadays, social media sites are growing day after day and they are gathering the most important number of visitors on the internet. But among these visitors there is also a big number of manipulators that try to benefit from the others for many reasons, which leads to increase the need to detect the fake accounts that try to manipulate over the online social media (OSN). A malicious account on OSNs can be created for different objectives such as social spam, identity theft, spear phishing and sybil attacks. In this article, we study and analyze the multiple fake accounts created by one user in order to manipulate and bypass the OSN regulation. We present a new methodology to detect the multiple identity fake accounts and validate it on a set of 10000 accounts extracted from EnglishWikipedia (EnWiki). In this methodology, we propose a set of features that differentiate between fake and legitimate accounts and grows on previous literature, then we train and test them using machine learning algorithms. The results compare several machine learning algorithms to show that our new features and training data enable to detect 99% of fake accounts, improving previous results from the literature. [ABSTRACT FROM AUTHOR]
    • Abstract:
      Copyright of Web Intelligence (2405-6456) is the property of IOS Press and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
    • Author Affiliations:
      1INSA Rouen, LITIS Lab, 685 Avenue de l'Université, 76801 Saint Etienne du Rouvray cedex, France
    • ISSN:
      2405-6456
    • Accession Number:
      10.3233/WEB-170363
    • Accession Number:
      124633325
  • Citations
    • ABNT:
      YAMAK, Z.; SAUNIER, J.; VERCOUTER, L. Automatic detection of multiple account deception in social media. Web Intelligence (2405-6456), [s. l.], v. 15, n. 3, p. 219–231, 2017. DOI 10.3233/WEB-170363. Disponível em: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=124633325&custid=s8280428. Acesso em: 9 jul. 2020.
    • AMA:
      Yamak Z, Saunier J, Vercouter L. Automatic detection of multiple account deception in social media. Web Intelligence (2405-6456). 2017;15(3):219-231. doi:10.3233/WEB-170363.
    • AMA11:
      Yamak Z, Saunier J, Vercouter L. Automatic detection of multiple account deception in social media. Web Intelligence (2405-6456). 2017;15(3):219-231. doi:10.3233/WEB-170363
    • APA:
      Yamak, Z., Saunier, J., & Vercouter, L. (2017). Automatic detection of multiple account deception in social media. Web Intelligence (2405-6456), 15(3), 219–231. https://doi.org/10.3233/WEB-170363
    • Chicago/Turabian: Author-Date:
      Yamak, Zaher, Julien Saunier, and Laurent Vercouter. 2017. “Automatic Detection of Multiple Account Deception in Social Media.” Web Intelligence (2405-6456) 15 (3): 219–31. doi:10.3233/WEB-170363.
    • Harvard:
      Yamak, Z., Saunier, J. and Vercouter, L. (2017) ‘Automatic detection of multiple account deception in social media’, Web Intelligence (2405-6456), 15(3), pp. 219–231. doi: 10.3233/WEB-170363.
    • Harvard: Australian:
      Yamak, Z, Saunier, J & Vercouter, L 2017, ‘Automatic detection of multiple account deception in social media’, Web Intelligence (2405-6456), vol. 15, no. 3, pp. 219–231, viewed 9 July 2020, .
    • MLA:
      Yamak, Zaher, et al. “Automatic Detection of Multiple Account Deception in Social Media.” Web Intelligence (2405-6456), vol. 15, no. 3, July 2017, pp. 219–231. EBSCOhost, doi:10.3233/WEB-170363.
    • Chicago/Turabian: Humanities:
      Yamak, Zaher, Julien Saunier, and Laurent Vercouter. “Automatic Detection of Multiple Account Deception in Social Media.” Web Intelligence (2405-6456) 15, no. 3 (July 2017): 219–31. doi:10.3233/WEB-170363.
    • Vancouver/ICMJE:
      Yamak Z, Saunier J, Vercouter L. Automatic detection of multiple account deception in social media. Web Intelligence (2405-6456) [Internet]. 2017 Jul [cited 2020 Jul 9];15(3):219–31. Available from: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=124633325&custid=s8280428