Dynamic Feature Selection for Spam Detection in Twitter

Author:

Karakaşlı M. Salih,Aydin Muhammed Ali,Yarkan Serhan,Boyaci Ali

Publisher

Springer Singapore

Reference20 articles.

1. https://www.statista.com/statistics/272014/global-social-networks-ranked-by-number-of-users/

2. Kandasamy KT, Koroth P (2014) An integrated approach to spam classification on Twitter using URL analysis. In: IEEE students’ conference on electrical, electronics and computer science

3. Chaitanya KT, Ponnapalli H, Herts D, Pablo J (2012) Analysis and detection of modern spam techniques on social networking sites. In: Third international conference on services in emerging markets

4. Abu-Nimeh S, Chen T, Alzubi O (2011) Malicious and spam posts in online social networks. IEEE Comput Soc 44(9)

5. Amit AA, Reddy N, Yadav S, Gu G, Yang C (2013) CATS: characterizing automation of Twitter spammers, communication systems and networks (COMSNETS). Fifth Int Conf 2013:1–10

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