Reference32 articles.
1. Aggarwal, A., Rajadesingan, A., Kumaraguru, P.: PhishAri: automatic realtime phishing detection on Twitter. In: IEEE eCrime Researchers Summit, Las Croabas, Puerto Rico, p. 1 (2012). https://doi.org/10.1109/eCrime.2012.6489521
2. Agrawal, R., Imieliński, T., Swami, A.: Mining association rules between sets of items in large databases. In: Proceedings of the ACM SIGMOD International Conference on Management of Data, Washington, D.C., USA, pp. 207–216 (1993)
3. Alghamdi, B., Watson, J., Xu, Y.: Toward detecting malicious links in online social networks through user behavior. In: IEEE WIC/ACM International Conference on Web Intelligence Workshops, Omaha, USA, pp. 5–8 (2016). https://doi.org/10.1109/wiw.2016.014
4. Benevenuto, F., Magno G., Rodrigues, T., Almeida, V.: Detecting spammers on Twitter. In: Collaboration, Electronic Messaging, Anti-abuse and Spam Conference (CEAS), vol. 6, p. 12 (2010)
5. Bhattarai, A., Rus, V., Dasgupta, D.: Characterizing comment spam in the blogosphere through content analysis. In: IEEE Symposium on Computational Intelligence in Cyber Security, CICS 2009, pp. 37–44 (2009)
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