Abstract
The use of new technologies along with the popularity of social networks has given the power of anonymity to the users. The ability to create an alter-ego with no relation to the actual user, creates a situation in which no one can certify the match between a profile and a real person. This problem generates situations, repeated daily, in which users with fake accounts, or at least not related to their real identity, publish news, reviews or multimedia material trying to discredit or attack other people who may or may not be aware of the attack. These acts can have great impact on the affected victims’ environment generating situations in which virtual attacks escalate into fatal consequences in real life. In this paper, we present a methodology to detect and associate fake profiles on Twitter social network which are employed for defamatory activities to a real profile within the same network by analysing the content of comments generated by both profiles. Accompanying this approach we also present a successful real life use case in which this methodology was applied to detect and stop a cyberbullying situation in a real elementary school.
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References
Boyd, D., Ellison, N.: Social network sites: Definition, history, and scholarship. Journal of Computer-Mediated Communication 13(1), 210–230 (2007)
Sanz, B., Laorden, C., Alvarez, G., Bringas, P.G.: A threat model approach to attacks and countermeasures in on-line social networks. In: Proceedings of the 11th Reunion Española de Criptografía y Seguridad de la Información (RECSI), Tarragona, Spain, September 7-10, pp. 343–348 (2010)
Laorden, C., Sanz, B., Alvarez, G., Bringas, P.G.: A threat model approach to threats and vulnerabilities in on-line social networks. In: Herrero, Á., Corchado, E., Redondo, C., Alonso, Á. (eds.) Computational Intelligence in Security for Information Systems 2010. AISC, vol. 85, pp. 135–142. Springer, Heidelberg (2010)
Smith, P.K., Mahdavi, J., Carvalho, M., Fisher, S., Russell, S., Tippett, N.: Cyberbullying: Its nature and impact in secondary school pupils. Journal of Child Psychology and Psychiatry 49(4), 376–385 (2008)
Bishop, J.: Scope and limitations in the government of wales act 2006 for tackling internet abuses in the form of ‘flame trolling’. Statute Law Review 33(2), 207–216 (2012)
Palfrey, J., Sacco, D., Boyd, D., DeBonis, L., Tatlock, J.: Enhancing child safety & online technologies (2008), cyber.law.harvard.edu/sites/cyber.law.harvard.edu/files/ISTTF_Final_Report.pdf (accessed)
Vandebosch, H., Van Cleemput, K.: Defining cyberbullying: A qualitative research into the perceptions of youngsters. CyberPsychology & Behavior 11(4), 499–503 (2008)
Laorden, C., Galán-García, P., Santos, I., Sanz, B., Hidalgo, J.M.G., Bringas, P.G.: Negobot: A conversational agent based on game theory for the detection of paedophile behaviour. In: Herrero, Á., Snášel, V., Abraham, A., Zelinka, I., Baruque, B., Quintián, H., Calvo, J.L., Sedano, J., Corchado, E. (eds.) Int. Joint Conf. CISIS’12-ICEUTE’12-SOCO’12. AISC, vol. 189, pp. 261–270. Springer, Heidelberg (2013)
Kontostathis, A.: Chatcoder: Toward the tracking and categorization of internet predators. In: Text Mining Workshop 2009 Held in Conjunction with the 9th Siam International Conference on Data Mining (SDM 2009), Sparks, NV (May 2009)
Smets, K., Goethals, B., Verdonk, B.: Automatic vandalism detection in wikipedia: Towards a machine learning approach. In: AAAI Workshop on Wikipedia and Artificial Intelligence: An Evolving Synergy, pp. 43–48 (2008)
Tan, P.N., Chen, F., Jain, A.: Information assurance: Detection of web spam attacks in social media. In: Proceedings of Army Science Conference, Orland, Florida (2010)
Simanjuntak, D.A., Ipung, H.P., Lim, C., Nugroho, A.S.: Text classification techniques used to faciliate cyber terrorism investigation. In: 2010 Second International Conference on Advances in Computing, Control and Telecommunication Technologies (ACT), pp. 198–200. IEEE (2010)
Dinakar, K., Reichart, R., Lieberman, H.: Modeling the detection of textual cyberbullying. In: International Conference on Weblog and Social Media-Social Mobile Web Workshop (2011)
De Vel, O., Anderson, A., Corney, M., Mohay, G.: Mining e-mail content for author identification forensics. ACM Sigmod Record 30(4), 55–64 (2001)
Holmes, G., Donkin, A., Witten, I.H.: Weka: A machine learning workbench. In: Proceedings of the 1994 Second Australian and New Zealand Conference on Intelligent Information Systems, pp. 357–361. IEEE (1994)
Garner, S.R., et al.: Weka: The waikato environment for knowledge analysis. In: Proceedings of the New Zealand Computer Science Research Students Conference, pp. 57–64. Citeseer (1995)
Wilbur, W.J., Sirotkin, K.: The automatic identification of stop words. Journal of Information Science 18(1), 45–55 (1992)
Kohavi, R., et al.: A study of cross-validation and bootstrap for accuracy estimation and model selection. In: International Joint Conference on Artificial Intelligence, vol. 14, pp. 1137–1145. Lawrence Erlbaum Associates Ltd. (1995)
Salton, G., McGill, M.: Introduction to modern information retrieval. McGraw-Hill, New York (1983)
Baeza-Yates, R.A., Ribeiro-Neto, B.: Modern Information Retrieval. Addison-Wesley Longman Publishing Co., Inc., Boston (1999)
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Galán-García, P., de la Puerta, J.G., Gómez, C.L., Santos, I., Bringas, P.G. (2014). Supervised Machine Learning for the Detection of Troll Profiles in Twitter Social Network: Application to a Real Case of Cyberbullying. In: Herrero, Á., et al. International Joint Conference SOCO’13-CISIS’13-ICEUTE’13. Advances in Intelligent Systems and Computing, vol 239. Springer, Cham. https://doi.org/10.1007/978-3-319-01854-6_43
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DOI: https://doi.org/10.1007/978-3-319-01854-6_43
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