SOSYAL BOT ALGILAMA TEKNİKLERİ VE ARAŞTIRMA YÖNLERİ ÜZERİNE BİR İNCELEME

Year 2018, Volume: 4 Issue: 1, 10 - 20, 30.06.2018

Arzum Karataş , Serap Şahin

https://doi.org/10.18640/ubgmd.348517

Cited By: 2

Abstract

Facebook, Twitter, LinkedIn gibi çevrimiçi sosyal
ağların (OSN) popülerliği ve web servislerinin yaygınlığı, bu alanlarda sosyal
bot olarak nitelendirdiğimiz yazılımsal sosyal aktörlerin ortaya çıkmasına ve
yaygınlaşmasına neden oldu. Ancak çoğunlukla bu aktörler kötü rollerde
karşımıza çıkmaktadırlar.  Örneğin,
sosyal botlar insanmış gibi sohbetlere katılma, başka hesapları çalarak
üzerinden dolandırıcılık yapma, yanlış bilgi yayma, borsayı manipüle etme,
sahte halk tabakası oluşturarak propaganda yapma gibi ciddi problemlerde
karşımıza çıkmaktadırlar. Bununla beraber, istenmeyen postaları ve zararlı
yazılımları yaymanın en etkin araçları haline gelmişlerdir. Dahası, botlar
gerçek hesapları ele geçirerek “zombi bilgisayar ağı” (botnet attack)
saldırıları düzenlemekte de kullanılabiliyorlar. Öte yandan, sosyal botların
sosyal paylaşım ağları üzerindeki yaygınlığı ve önemi inkâr edilemez bir
gerçektir. Bu çalışmada, kötü niyetli sosyal botların potansiyel tehlikeleri
vurgulanmıştır. Sonrasında, metodolojik bir sınıflandırma içerisinde
literatürdeki bot tespit yaklaşımları, bu yaklaşımların sınırları ve açık
problemleri gözden geçirilmiştir. Makalenin son bölümünde, problemi çözmeye
yönelik iki yeni yaklaşım önerilmiştir.

Keywords

Sosyal botlar, sosyal ağlar, çevrim içi ağlar, sosyal bot algılama, sybil hesapları

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