Dezenformasyonun Otomatik Tespiti: Sistematik Bir Haritalama Çalışması

Year 2024, EARLY VIEW, 1 - 1

Merve Ertürk , Tuana İrkey , Başak Gök , Hadi Gökçen

https://doi.org/10.2339/politeknik.1307037

Abstract

Son yıllarda çevrimiçi sosyal medya platformlarında bilgi kirliliği türlerinden olan dezenformasyonun yayılımı hızlanmış olup birey ve toplumlar üzerinde yarattığı olumsuz etkiyi kaldırabilmek amacıyla dezenformasyonun erken tespiti önem kazanmıştır. Bu doğrultuda son yıllarda dezenformasyonun otomatik tespitine odaklanan çalışmaların sayısında ve geliştirilen yaklaşımların çeşitliliğinde artış gözlemlenmiş, gerçekleştirilen çalışmalardaki eğilimlerin detaylı bir şekilde incelenmesi ihtiyacı ortaya çıkmıştır. Bu çalışma, dezenformasyonun otomatik olarak tespitine yönelik araştırma alanının bir haritasını ortaya koymayı amaçlamaktadır. Bu doğrultuda araştırma kapsamına alınan Scopus ve Web of Science elektronik veri tabanlarında 2018-2022 yılları arasında yayınlanmış 61 birincil kaynak incelenmiş ve belirlenen kriterler çerçevesinde analiz edilmiştir. Yürütülen sistematik haritalama çalışması yayın yılı, dergi, dergi sınıfı ve yayıncı adı, yazarların menşe ülkesi, en üretken yazarlar ve kurumlar, kullanılan anahtar kelimeler, desteklenen yaklaşımlar, elde edilen doğruluk oranları ve kullanılan veri kümeleri dahil olmak üzere dezenformasyonun otomatik tespiti hakkında yararlı bilgiler sağlamayı amaçlamaktadır. Bu araştırmanın, dezenformasyonun tespiti için geliştirilen yaklaşımlar konusunda araştırmacılara yol göstermesi/yönlendirmesi ve bundan sonraki çalışmalara katkı sağlaması beklenmektedir.

Keywords

Dezenformasyon, sahte haber, sistematik haritalama

Automatic Detection of Disinformation: A Systematic Mapping Study

Abstract

In recent years, the spread of disinformation, which is one of the kind of information pollution, has accelerated on online social media platforms, and detecting disinformation early has become significant to be able to remove the negative impact it has on individuals and societies. In this direction, increased number of studies focusing on the automatic detection of disinformation and the variety of approaches developed have been observed in recent years, and the need to study the trends in the studies carried out in detail has emerged. This research seeks to present a map of the research area for the automatic detection of disinformation. In this context, 61 primary sources published in the electronic databases named Web of Science and Scopus between 2018-2022 included in the research scope have been examined and analyzed within the framework of the determined criteria. The conducted systematic mapping study aims to provide useful insights about automatic detection of disinformation including publication year, journal, journal class and publisher name, country of origin of the authors, most prolific authors and institutions, keywords used, supported approaches, obtained accuracy rates and datasets used. It is expected that this research will guide/direct researchers about the approaches developed for the detection of disinformation and contribute to future studies.

Keywords

Disinformation, fake news, systematic mapping

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