A review on social spam detection: Challenges, open issues, and future directions
Abstract Online Social Networks are perpetually evolving and used in plenteous
applications such as content sharing, chatting, making friends/followers, customer …
applications such as content sharing, chatting, making friends/followers, customer …
Recent developments in social spam detection and combating techniques: A survey
M Chakraborty, S Pal, R Pramanik… - Information Processing & …, 2016 - Elsevier
Spam in recent years has pervaded all forms of digital communication. The increase in user
base for social platforms like Facebook, Twitter, YouTube, etc., has opened new avenues for …
base for social platforms like Facebook, Twitter, YouTube, etc., has opened new avenues for …
Rise of spam and compromised accounts in online social networks: A state-of-the-art review of different combating approaches
Ever increasing fame and obsession for social networks has also coxswained a dramatic
increase in the presence of malicious activities. As a result, various researchers have …
increase in the presence of malicious activities. As a result, various researchers have …
The paradigm-shift of social spambots: Evidence, theories, and tools for the arms race
Recent studies in social media spam and automation provide anecdotal argumentation of
the rise of a new generation of spambots, so-called social spambots. Here, for the first time …
the rise of a new generation of spambots, so-called social spambots. Here, for the first time …
Spam detection on social networks using cost-sensitive feature selection and ensemble-based regularized deep neural networks
A Barushka, P Hajek - Neural Computing and Applications, 2020 - Springer
Spam detection on social networks is increasingly important owing to the rapid growth of
social network user base. Sophisticated spam filters must be developed to deal with this …
social network user base. Sophisticated spam filters must be developed to deal with this …
Spammer detection and fake user identification on social networks
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 …
with these social sites, such as Twitter and Facebook have a tremendous impact and …
[HTML][HTML] Multi-objective genetic algorithm and CNN-based deep learning architectural scheme for effective spam detection
WS Jacob - International Journal of Intelligent Networks, 2022 - Elsevier
E-mail has traditionally been regarded as the most powerful medium in online social
networks, where users can discuss, connect, and share links with other online social media …
networks, where users can discuss, connect, and share links with other online social media …
Making the most of tweet-inherent features for social spam detection on Twitter
Social spam produces a great amount of noise on social media services such as Twitter,
which reduces the signal-to-noise ratio that both end users and data mining applications …
which reduces the signal-to-noise ratio that both end users and data mining applications …
Hybrid ensemble framework with self-attention mechanism for social spam detection on imbalanced data
Cybercriminals use social media platforms to disseminate spam, misleading facts, fake
news, and malicious links. Blocking such deceptive social media spam is essential …
news, and malicious links. Blocking such deceptive social media spam is essential …
Spam detection on social media using semantic convolutional neural network
This article describes how spam detection in the social media text is becoming increasing
important because of the exponential increase in the spam volume over the network. It is …
important because of the exponential increase in the spam volume over the network. It is …