A Hybrid Spam Detection Framework for Social Networks

Author:

ÇITLAK Oğuzhan,DÖRTERLER Murat,DOGRU İbrahim

Publisher

Politeknik Dergisi

Subject

Colloid and Surface Chemistry,Physical and Theoretical Chemistry

Reference83 articles.

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3. [3] Kabakus A. T. and Kara R., “A survey of spam detection methods on twitter”, International Journal of Advanced Computer Science and Applications, 8(3): 29-38, (2017).

4. [4] https://dijilopedi.com/2020-turkiye-internet-kullanimi-ve-sosyal-medya-istatistikleri/, “2020 Türkiye İnternet Kullanımı ve Sosyal Medya İstatistikleri”,(17 April 2021).

5. [5] Wang S., Chen Z., Yan Q., Ji K., Peng L., Yang B. and Conti M., “Deep and broad URL feature mining for android malware detection”, Information Sciences, 513: 600-613, (2020).

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1. ALBERT4Spam: A Novel Approach for Spam Detection on Social Networks;Bilişim Teknolojileri Dergisi;2024-04-30

2. Streak – Social Media Platform with Dynamic Identification of Spam Words, Phishing Urls, Misleading Products and Agencies;2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE);2023-11-01

3. Çoğunluk Oylamasına Dayalı Farklı Etkinleştirme İşlevine Sahip Aşırı Öğrenme Makinelerini Kullanan Kimlik Avı Tespit Sistemi;Journal of Polytechnic;2022-08-24

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