A survey on detecting spam accounts on Twitter network

Citlak O., Dorterler M., DOĞRU İ. A.

SOCIAL NETWORK ANALYSIS AND MINING, cilt.9, sa.1, 2019 (ESCI) identifier identifier

  • Yayın Türü: Makale / Derleme
  • Cilt numarası: 9 Sayı: 1
  • Basım Tarihi: 2019
  • Doi Numarası: 10.1007/s13278-019-0582-x
  • Dergi Adı: SOCIAL NETWORK ANALYSIS AND MINING
  • Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI), Scopus
  • Anahtar Kelimeler: Social network, Spam accounts, Spam detection on Twitter, Spam analysis on Twitter, MESSAGES, MEDIA
  • Gazi Üniversitesi Adresli: Evet

Özet

Social networks have become an inseparable part of our lives today. Services such as Facebook, Twitter, Instagram, Google + and LinkedIn in particular have had a significant place in Internet use in recent years. People establish instant interactions between each other over the Internet using these social services. They get many advantages such as creating their own groups, being informed about different interest areas and being able to make many contacts. Twitter is one of the mostly used platforms among the social networks. A social network that is being used so commonly has become a target for the vicious people (spammers). There is an increase in the number of spammers on Twitter too. Malicious content and messages (spams) prepared by the spammers do threat the security as well as performance. The first and most important condition to protect against this threat is to know the harmful methods of spam. Thus, this will make it easier to detect and protect. In this study, prominent detection methods of spams are analyzed. How the real users and fake users are distinguished as well as weak and strong aspects of the methods for these processes are compared and evaluated.