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 …
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 …
focused on the identification of malicious user accounts and honeypot-based approaches …
A survey on detecting spam accounts on Twitter network
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 …
Facebook, Twitter, Instagram, Google+ and LinkedIn in particular have had a significant …
Arabic spam tweets classification using deep learning
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 …
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 …
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 …
people are using social networks for collaboration and receiving real-time information …
Deepbot: a deep neural network based approach for detecting Twitter bots
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 …
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?
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 …
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
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 …
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
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 …
Service (SMS) which consists of classification and clustering of spam using two different …