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 …

Data-driven cyber security in perspective—Intelligent traffic analysis

R Coulter, QL Han, L Pan, J Zhang… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Social and Internet traffic analysis is fundamental in detecting and defending cyber attacks.
Traditional approaches resorting to manually defined rules are gradually replaced by …

Deep learning to filter SMS Spam

PK Roy, JP Singh, S Banerjee - Future Generation Computer Systems, 2020 - Elsevier
The popularity of short message service (SMS) has been growing over the last decade. For
businesses, these text messages are more effective than even emails. This is because while …

Twitter spam detection: Survey of new approaches and comparative study

T Wu, S Wen, Y **ang, W Zhou - Computers & Security, 2018 - Elsevier
Twitter spam has long been a critical but difficult problem to be addressed. So far,
researchers have proposed many detection and defence methods in order to protect Twitter …

[HTML][HTML] Detection of spam-posting accounts on Twitter

I Inuwa-Dutse, M Liptrott, I Korkontzelos - Neurocomputing, 2018 - Elsevier
Abstract Online Social Media platforms, such as Facebook and Twitter, enable all users,
independently of their characteristics, to freely generate and consume huge amounts of …

Spammer detection and fake user identification on social networks

F Masood, A Almogren, A Abbas, HA Khattak… - IEEE …, 2019 - ieeexplore.ieee.org
Social networking sites engage millions of users around the world. The users' interactions
with these social sites, such as Twitter and Facebook have a tremendous impact and …

A machine learning approach for the identification of the deceptive reviews in the hospitality sector using unique attributes and sentiment orientation

MR Martinez-Torres, SL Toral - Tourism Management, 2019 - Elsevier
The popularity of online reviews is causing a huge impact on consumers' purchase
intentions for goods and services. However, and hidden by the anonymity of the Internet …

Fake profile detection on social networking websites: a comprehensive review

PK Roy, S Chahar - IEEE Transactions on Artificial Intelligence, 2020 - ieeexplore.ieee.org
This article aims to summarize the recent advancement in the fake account detection
methodology on social networking websites. Over the past decade, social networking …

An intelligent framework based on deep learning for SMS and e‐mail spam detection

U Maqsood, S Ur Rehman, T Ali… - … Intelligence and Soft …, 2023 - Wiley Online Library
The use of short message service (SMS) and e‐mail have increased too much over the last
decades. 80% of people do not read e‐mails while 98% of cell phone users daily read their …

Spammer detection approaches in online social network (OSNs): a survey

SR Sahoo, BB Gupta, D Peraković… - … Systems in Industry 4.0, 2022 - Springer
In recent years, spammer has imbued every social network platform. The growth in users in
social platforms like Instagram, Facebook, Sina Weibo, Twitter, YouTube, etc. has unfolded …