Twitter spam account detection based on clustering and classification methods

KS Adewole, T Han, W Wu, H Song… - The Journal of …, 2020 - Springer
Twitter social network has gained more popularity due to the increase in social activities of
registered users. Twitter performs dual functions of online social network (OSN), acting as a …

Bert-and cnn-based tobeat approach for unwelcome tweets detection

S Ouni, F Fkih, MN Omri - Social Network Analysis and Mining, 2022 - Springer
Social media platforms have become an inevitable part of our lives today. Twitter is one such
major online social networking platform. Recently, it pointed to exponential growth with …

Content based email spam classifier as a web application using Naïve Bayes classifier

A Chakraborty, UK Das, J Sikder, M Maimuna… - … on Intelligent Computing …, 2022 - Springer
Spam has emerged as a significant issue that is endangering the reliability of existing email
networks. The email has become an essential means of sharing information worldwide for …

Interaction-based behavioral analysis of twitter social network accounts

H İş, T Tuncer - Applied Sciences, 2019 - mdpi.com
This article considers methodological approaches to determine and prevent social media
manipulation specific to Twitter. Behavioral analyses of Twitter users were performed by …

Content-based spam email detection using an n-gram machine learning approach

NJ Euna, SMM Hossain, MM Anwar… - Applied Intelligence for …, 2023 - taylorfrancis.com
Recently, spam emails have become a significant problem with the expanding usage of the
Internet. It is to some extend obvious to filter emails. A spam filter is a system that detects …

Machine learning-based Naive Bayes approach for divulgence of Spam Comment in Youtube station

S Bhattacharya, S Bhattacharjee, A Das, A Mitra… - International Journal of …, 2021 - ijeap.org
In the 21st Century, web-based media assumes an indispensable part in the interaction and
communication of civilization. As an illustration of web-based media viz. YouTube …

[PDF][PDF] A Profile Analysis of User Interaction in Social Media Using Deep Learning.

H İş, T Tuncer - Traitement du signal, 2021 - researchgate.net
Accepted: 26 December 2020 It is highly important to detect malicious account interaction in
social networks with regard to political, social and economic aspects. This paper analyzed …

GraphSAGE-Based Spammer Detection Using Social Attribute Relationship

BY Jin, SC Li, JW Huang - … on Technologies and Applications of Artificial …, 2023 - Springer
Spammers have existed since the birth of the Internet. They constantly pollute the social
network environment, seriously degrade user experience and pose a threat to user account …

Detection of Twitter Spam with Language Models: A Case Study on How to Use BERT to Protect Children from Spam on Twitter

BM Jones, M Omar - 2023 Congress in Computer Science …, 2023 - ieeexplore.ieee.org
With the increasing use of social media platforms like Twitter, the problem of spam is
becoming more prevalent. This is especially concerning when it comes to children who use …

Analysis of ensemble learning models for identifying spam over social networks using recursive feature elimination

P Garg, SN Singh - … on Cloud Computing, Data Science & …, 2021 - ieeexplore.ieee.org
Social Networking platforms are regarded as being the reliable and valued communication
medium for transferring information and communicating, used by the millions throughout the …