| Bölüm Adı | Using Artificial Intelligence Against the Phenomenon of Fake News: A Systematic Literature Review | ||
| Kitap Adı | Combating Fake News with Computational Intelligence Techniques | ||
| Bölüm Sayfaları | 39-54 | ||
| Kitap Türü | Kitap Bölümü | ||
| Kitap Alt Türü | Alanında uluslararası yayınlanan kitap bölümü | ||
| Kitap Niteliği | Scopus indeksinde taranan bilimsel kitap | ||
| Kitap Dili | İngilizce | Basım Tarihi | 01-2022 |
| DOI Numarası | 10.1007/978-3-030-90087-8_2 | ISBN | 978-3-030-90087-8 |
| Basıldığı Ülke | Basıldığı Şehir | ||
| Kitap Linki | https://doi.org/10.1007/978-3-030-90087-8_2 | ||
| UAK Araştırma Alanları |
Yapay Zeka
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| Özet |
| Social networks like Facebook and Twitter have become an important way for people to connect and share their thoughts. The most important feature of social networks is the rapid sharing of information. In this context, users often share fake news without even knowing it. Fake news affects people's daily lives and its consequences can range from mere disturbing to misleading societies or even countries. The aim of this study was to provide a literature review that investigates how artificial intelligence tools are used in detecting fake news on social media and how successful they are in different fields. The study was developed using the methodology presented by Keela (2007), which is a formal methodology in computer science. The results of the study show that artificial intelligence tools such as machine learning and deep learning are widely used to develop systems for detecting fake news in various fields such as … |
| Anahtar Kelimeler |
| Artificial intelligence | Deep learning | Fake news detection | Machine learning | Social networks |
| Atıf Sayıları | |
| Scopus | 38 |
| Google Scholar | 68 |