Yapay Zeka Siber Zorbalığı Önceden Tahmin Edebilir mi?

Bu çalışma literatüre katkı sağlamak ve siber zorbalığın tespitinde kullanılan algoritmaların tanımlanması ve karşılaştırılma amacıyla yapılmıştır. Çalışmaya Türkçe ve İngilizce dillerinde, son 10 yıl içinde akademik dergilerde yayınlanmış olan, tam metnine ulaşılabilen araştırma makaleleri dahil edilmiştir. Literatür taraması Google Scholar, ProQuest, Science Direct, Scopus, Wiley Online Library ve Pubmed çevrimiçi veri tabanlarından Türkçe “Siber Zorbalık”, “Tahmin Etme” ve “Yapay Zeka” ve İngilizce “Predicting Cyberbullying” ve “Artificial Intelligence” anahtar kelimeleri ile yapılmış ancak Türkçe anahtar kelimelerle herhangi bir sonuca ulaşılamadığından araştırmacıların ortak kararı ile yalnızca İngilizce anahtar kelimeler Ekim 2022’de yapılmıştır. Çalışmaya 19 araştırma makalesi dahil edilmiştir. Dahil edilen çalışmaların 18 tanesi İngilizce 1 tanesi Türkçedir. Çalışmaların amacı yapay zekaya dayanan algoritmalar yardımı ile siber zorbalığın tespit edilmesi ve/veya önlenmesidir. İncelenen çalışmalar sonucunda önerilen yapay zeka modelleri siber zorbalığa yönelik amaçlarını gerçekleştirme konusunda başarılı sonuçlar elde etmiştir. Çalışmalardan birinde siber zorbalığı mesaj içeriğinden tespit ederek mesajın gönderilmesini engelleyebilen bir yapay zeka modeli geliştirilmiştir. Ayrıca yapa zeka uygulamaları yalnızca çevrimiçi sosyal ağlarda değil, iş yerlerinde kurum içi kullanılan ağlarda da siber zorbalık başarılı bir şekilde tespit edilmiştir. Siber zorbaların sosyal medyada suçlayıcı bir dil kullanarak siber kurbanları istismar etmesi teorisi temelinde literatüre katkı sağlanmıştır. Siber zorbalıkla ilgili çalışmalar genellikle metin tabanlı analizleri içermektedir ancak siber zorbalığı daha iyi bir şekilde tespit edebilmek için resim, video ve sesleri analiz edebilen tekniklerin geliştirilmesi önerilmektedir. Uygulamalarda yapılabilecek ek güncellemeler programlar kullanıcıya yazması için herhangi bir kötüye kullanım içeriği önermeden önce gerçek zamanlı metin tahmini yapılacak şekilde ölçeklendirilebilir.

Anahtar Kelimeler:

Siber zorbalık, şiddeti önleme, yapay zeka

Can Artificial Intelligence Predict Cyberbullying?

This study was carried out to contribute to the literature and to define and compare the algorithms used in the detection of cyberbullying. Research articles published in academic journals in the last 10 years, in Turkish and English, whose full text can be accessed, were included in the study. The literature search was conducted with the keywords “Cyber Bullying”, “Guess” and “Artificial Intelligence” in Turkish and “Predicting Cyberbullying” and “Artificial Intelligence” in English from Google Scholar, ProQuest, ScienceDirect, Scopus, Wiley Online Library and Pubmed online databases. Since no results could be reached with Turkish keywords, only English keywords were made in October 2022 with the joint decision of the researchers. 19 research articles were included in the study. Eighteen of the included studies are in English and one is in Turkish. The aim of the studies is to detect and/or prevent cyberbullying with the help of algorithms based on artificial intelligence. As a result of the studies examined, the proposed artificial intelligence models have achieved successful results in achieving their goals for cyberbullying. In one of the studies, an artificial intelligence model was developed that can detect cyberbullying from the message content and prevent the message from being sent. In addition, artificial intelligence applications have been able to successfully detect cyberbullying not only in online social networks, but also in networks used in-house at workplaces. A contribution has been made to the literature on the basis of the theory that cyberbullies abuse cyber victims by using an accusatory language in social media. Studies on cyberbullying usually include text-based analysis, but it is recommended to develop techniques that can analyze images, videos and sounds in order to better detect cyberbullying. Additional updates to apps can be scaled up to perform real-time text prediction before programs suggest any abusive content to the user for typing.

Keywords:

Cyberbullying, preventing violence, artificial intelligence,

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Yayın Aralığı: Yılda 2 Sayı
Başlangıç: 2020
Yayıncı: Mobbing Eğitim Yardım Araştırma Derneği

Arşiv

Sayıdaki Diğer Makaleler

Sağlık Alanında İletişim Becerisi ve Şiddet: Tokat İli Örneği

Şeyda ÖZTUNA, Nermin GÜRHAN