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 …

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 …

A hybrid classification method for Twitter spam detection based on differential evolution and random forest

S Bazzaz Abkenar, E Mahdipour… - Concurrency and …, 2021 - Wiley Online Library
Social networking services are online platforms that are distributed across different
computers over long distances. Twitter is the most popular microblogging site that allows …

Contents-based spam detection on social networks using RoBERTa embedding and stacked BLSTM

R Ghanem, H Erbay, K Bakour - SN Computer Science, 2023 - Springer
The use of social networks has become an integral part of our daily lives. Even though social
networking sites offer many advantages, they also pose a number of problems for their …

TwitterGAN: robust spam detection in twitter using novel generative adversarial networks

M Diqi - International Journal of Information Technology, 2023 - Springer
As social media platforms like Twitter continue to evolve, the proliferation of spam content
has become a pressing issue, undermining the credibility of shared messages. Traditional …

Metapath and syntax-aware heterogeneous subgraph neural networks for spam review detection

Z Zhang, Y Dong, H Wu, H Song, S Deng… - Applied Soft Computing, 2022 - Elsevier
Abstract Spam Review Detection is a subclass of text classification that aims to distinguish
genuine reviews from spam reviews (eg, irrelevant reviews, deceptive reviews, machine …

Adversarial machine learning on social network: A survey

S Guo, X Li, Z Mu - Frontiers in Physics, 2021 - frontiersin.org
In recent years, machine learning technology has made great improvements in social
networks applications such as social network recommendation systems, sentiment analysis …

Adaptive threshold optimisation for online feature selection using dynamic particle swarm optimisation in determining feature relevancy and redundancy

EAK Zaman, A Ahmad, A Mohamed - Applied Soft Computing, 2024 - Elsevier
In the era of data-driven decision-making, managing dynamic data streams characterised by
evolving data distributions and high dimensionality presents a formidable challenge for …

[PDF][PDF] Optimized generative adversarial network with fractional calculus based feature fusion using Twitter stream for spam detection.

B Venkateswarlu, VV Shenoi - Inf. Secur. J. A Glob. Perspect., 2022 - researchgate.net
The social networks continue to augment their popularity due to the increased usage of the
Internet. The people become connected using social media like Facebook and Twitter. This …

Twitter spam accounts detection using machine learning models

SJ Alsunaidi, RT Alraddadi… - 2022 14th International …, 2022 - ieeexplore.ieee.org
The amount of spam accounts on Twitter has recently surged, which has attracted
researchers' interest in seeking strategies to mitigate this problem. This paper reviews recent …