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Cross-Domain Spam Detection in Social Media: A Survey

  • Deepali DhakaEmail author
  • Monica Mehrotra
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 985)

Abstract

Social media is now an integral part of everyone’s life. Due to its exponential growth with rising interest of users, they have become the source of the abundant amount of data prevailing on the internet. This tremendous amount of data is not only useful for researchers but also fascinates spammers. To reach more users, to increase monetary gain and to disseminate malicious activities, spammers are using multiple content sharing platforms. Conventional spam detection techniques have focused more on spam detection on one platform only. This paper discusses cross-domain detection techniques of email and web spams, social spams, opinion spams, and their comparisons. This is an attempt to provide various challenges in this area. As far as our knowledge concerned, this is the first detailed literature study in the field of cross-domain spam detection.

Keywords

Cross-domain Content-based Spam Social media Spams detection 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Department of Computer ScienceJamia Millia IslamiaNew DelhiIndia

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