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 …
Novel approaches to fake news and fake account detection in OSNs: user social engagement and visual content centric model
With an increase in the number of active users on OSNs (Online Social Networks), the
propagation of fake news became obvious. OSNs provide a platform for users to interact with …
propagation of fake news became obvious. OSNs provide a platform for users to interact with …
UCred: fusion of machine learning and deep learning methods for user credibility on social media
Abstract Online Social Network (OSN) is one of the biggest platforms that spread real and
fake news. Many OSN users spread malicious data, fake news, and hoaxes using fake or …
fake news. Many OSN users spread malicious data, fake news, and hoaxes using fake or …
Fake account detection in social media using machine learning methods: literature review
NG Kerrysa, IQ Utami - Bulletin of Electrical Engineering and Informatics, 2023 - beei.org
With the rapid development of emerging technologies in the industrial revolution 4.0 or 5.0,
social media has become one of the social environments to carry out social activities, both …
social media has become one of the social environments to carry out social activities, both …
Feature selection using Benford's law to support detection of malicious social media bots
The increased amount of high-dimensional imbalanced data in online social networks
challenges existing feature selection methods. Although feature selection methods such as …
challenges existing feature selection methods. Although feature selection methods such as …
[PDF][PDF] Understanding and analyzing appraisal systems in the underground marketplaces
An appraisal system is a feedback mechanism that has gained popularity in underground
marketplaces. This system allows appraisers, who receive free samples from vendors, to …
marketplaces. This system allows appraisers, who receive free samples from vendors, to …
A novel machine learning‐based framework for detecting fake Instagram profiles
Recently, there has been a massive rise in the popularity of Instagram, which connects
individuals globally and allows videos and images to be uploaded and exchanged, and …
individuals globally and allows videos and images to be uploaded and exchanged, and …
Classifying social media bots as malicious or benign using semi-supervised machine learning
Users of online social network (OSN) platforms, eg Twitter, are not always humans, and
social bots (referred to as bots) are highly prevalent. State-of-the-art research demonstrates …
social bots (referred to as bots) are highly prevalent. State-of-the-art research demonstrates …
Multi-modal fusion using Fine-tuned Self-attention and transfer learning for veracity analysis of web information
P Meel, DK Vishwakarma - Expert Systems with Applications, 2023 - Elsevier
The nuisance of misinformation and fake news has escalated many folds since the advent of
online social networks. Human consciousness and decision-making capabilities are …
online social networks. Human consciousness and decision-making capabilities are …
[HTML][HTML] Examining the correlation between metrics in the Instagram social network to identify fake pages and improve marketing
S Saeidi, Z Baradari - Computers in Human Behavior Reports, 2023 - Elsevier
Considering the increasing role of social networks in daily life and their role in developing
businesses, paying close attention to each of them and their different dimensions is …
businesses, paying close attention to each of them and their different dimensions is …