Learning textual features for Twitter spam detection: A systematic literature review

SB Abkenar, MH Kashani, M Akbari… - Expert Systems with …, 2023 - Elsevier
Background—Nowadays, with the rise of Internet access and mobile devices around the
globe, more people are using social networks for collaboration and receiving real-time …

Detecting malicious tweets in trending topics using a statistical analysis of language

J Martinez-Romo, L Araujo - Expert Systems with Applications, 2013 - Elsevier
Twitter spam detection is a recent area of research in which most previous works had
focused on the identification of malicious user accounts and honeypot-based approaches …

A survey on detecting spam accounts on Twitter network

O Çıtlak, M Dörterler, İA Doğru - Social Network Analysis and Mining, 2019 - Springer
Social networks have become an inseparable part of our lives today. Services such as
Facebook, Twitter, Instagram, Google+ and LinkedIn in particular have had a significant …

Arabic spam tweets classification using deep learning

S Kaddoura, SA Alex, M Itani, S Henno… - Neural Computing and …, 2023 - Springer
With the increased use of social network sites, such as Twitter, attackers exploit these
platforms to spread counterfeit content. Such content can be fake advertisements or illegal …

Efficiency comparison of Python and RapidMiner

L Kovács, H Ghous - MULTIDISZCIPLINÁRIS TUDOMÁNYOK: A …, 2020 - real.mtak.hu
Machine learning is an important technique that helps companies, institutes, and humans to
improve the quality of decision making. As there are many different free tools on the Internet …

Twitter spam detection: A systematic review

SB Abkenar, MH Kashani, M Akbari… - arXiv preprint arXiv …, 2020 - arxiv.org
Nowadays, with the rise of Internet access and mobile devices around the globe, more
people are using social networks for collaboration and receiving real-time information …

Deepbot: a deep neural network based approach for detecting Twitter bots

L Luo, X Zhang, X Yang, W Yang - IOP Conference Series …, 2020 - iopscience.iop.org
Social networks have played a very critical role in very aspect of our daily life. However, a
wide variety of bots have been found which are designed for some malicious purposes such …

How does duplicate tweeting boost social media exposure to scholarly articles?

R Cao, Y Geng, X Xu, X Wang - Journal of Informetrics, 2022 - Elsevier
Duplicate tweeting is a kind of behavior that a user posts the same or substantially similar
original tweets to one or several topics multiple times in a row, which is commonly used to …

Real-time classification of malicious URLs on Twitter using machine activity data

P Burnap, A Javed, OF Rana, MS Awan - Proceedings of the 2015 IEEE …, 2015 - dl.acm.org
Massive online social networks with hundreds of millions of active users are increasingly
being used by Cyber criminals to spread malicious software (malware) to exploit …

[PDF][PDF] An analysis of various algorithms for text spam classification and clustering using RapidMiner and Weka

K Zainal, NF Sulaiman, MZ Jali - International Journal of …, 2015 - researchgate.net
This paper reported and summarized findings of spam management for Short Message
Service (SMS) which consists of classification and clustering of spam using two different …