Machine learning-based social media bot detection: a comprehensive literature review
In today's digitalized era, Online Social Networking platforms are growing to be a vital aspect
of each individual's daily life. The availability of the vast amount of information and their …
of each individual's daily life. The availability of the vast amount of information and their …
Fake profile detection on social networking websites: a comprehensive review
This article aims to summarize the recent advancement in the fake account detection
methodology on social networking websites. Over the past decade, social networking …
methodology on social networking websites. Over the past decade, social networking …
[Retracted] Real‐Time Twitter Spam Detection and Sentiment Analysis using Machine Learning and Deep Learning Techniques
AP Rodrigues, R Fernandes, A Shetty… - Computational …, 2022 - Wiley Online Library
In this modern world, we are accustomed to a constant stream of data. Major social media
sites like Twitter, Facebook, or Quora face a huge dilemma as a lot of these sites fall victim to …
sites like Twitter, Facebook, or Quora face a huge dilemma as a lot of these sites fall victim to …
Stock market prediction using machine learning classifiers and social media, news
Accurate stock market prediction is of great interest to investors; however, stock markets are
driven by volatile factors such as microblogs and news that make it hard to predict stock …
driven by volatile factors such as microblogs and news that make it hard to predict stock …
An efficient malware detection approach with feature weighting based on Harris Hawks optimization
This paper introduces and tests a novel machine learning approach to detect Android
malware. The proposed approach is composed of Support Vector Machine (SVM) classifier …
malware. The proposed approach is composed of Support Vector Machine (SVM) classifier …
A deep learning model for Twitter spam detection
Social networking platforms have become a popular way for Internet surfers to meet and
interact. Twitter is one of the most popular social networking platforms where users can read …
interact. Twitter is one of the most popular social networking platforms where users can read …
Spam emails detection based on distributed word embedding with deep learning
S Srinivasan, V Ravi, M Alazab, S Ketha… - … intelligence and big …, 2021 - Springer
In recent years, a rapid shift from general and random attacks to more sophisticated and
advanced ones can be noticed. Unsolicited email or spam is one of the sources of many …
advanced ones can be noticed. Unsolicited email or spam is one of the sources of many …
Evolving support vector machines using whale optimization algorithm for spam profiles detection on online social networks in different lingual contexts
Detecting spam profiles is considered as one of the most challenging issues in online social
networks. The reason is that these profiles are not just a source for unwanted or bad …
networks. The reason is that these profiles are not just a source for unwanted or bad …
A novel machine learning and face recognition technique for fake accounts detection system on cyber social networks
Abstract Online Social Networks (OSN) such as Facebook, Instagram, Twitter, and others
have seen rapid growth in recent years. Such applications provide attractive online social …
have seen rapid growth in recent years. Such applications provide attractive online social …
Detecting spam accounts on Twitter
Social networks have become a popular way for internet surfers to interact with friends and
family members, reading news, and also discuss events. Users spend more time on well …
family members, reading news, and also discuss events. Users spend more time on well …