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 …

Resource allocation strategy based on tripartite graph in vehicular social networks

Y Zhang, Y Zhou - IEEE Transactions on Network Science and …, 2022 - ieeexplore.ieee.org
Owing to the limited spectrum of vehicular social networks and the fragmented distribution of
caching resources, problems such as low vehicle data transmission rate, poor service …

Classification of Malicious URLs Using Naive Bayes and Genetic Algorithm

M Koca, İ Avcı, MAS Al-hayani - Sakarya University Journal of …, 2023 - saucis.sakarya.edu.tr
The financial losses of vulnerable and insecure websites are increasing day by day. The
proposed system in this research presents a strategy based on factor analysis of website …

A collaborative abstraction based email spam filtering with fingerprints

P Rajendran, A Tamilarasi, R Mynavathi - Wireless Personal …, 2022 - Springer
Spam detection in emails tends to be an endless research interest among many researchers
and academicians. Even though email communication has become a major role in day to …

Spam Article Detection on Social Media Platform Using Deep Learning: Enhancing Content Integrity and User Experience

P Chiawchansilp, P Kantavat - … of the 13th International Conference on …, 2023 - dl.acm.org
In the digital age, the widespread use of online social media corresponds with a rise in
spam. These messages often appear as forceful ads, sales offer, gambling promotions, or …

A Machine Learning Supervised Model to Detect Cyber-Begging in Social Media

AM Alshareef - Emerging Technologies in Data Mining and Information …, 2022 - Springer
The misuse of social media leads many of the users to fall into crimes that they are not
aware of it especially financial ones. Recently, cyber-begging has grown significantly on …

Detecting spammer and fake user on social networks using machine learning approach

T SudalaiMuthu, C Reddy, BS Reddy… - AIP Conference …, 2022 - pubs.aip.org
The fake users play a significant role in social media. The Spammer's messages are similar
to non-spam messages. There are several waysto distinguish fake and genuine online …

Classification of Bullying Comments on YouTube Streamer Comment Sections Using Naïve Bayes Classification

CSK Aditya - Journal of Systems Engineering and Information …, 2023 - jurnal.iaii.or.id
One of the social media crimes that is rampant in the current era is cyberbullying.
Cyberbullying is a form of intimidation by someone to harass other people using …

A Hybrid Deep Learning Approach for Spam Detection in Twitter.

H Loucif - Ingénierie des Systèmes d'Information, 2024 - search.ebscohost.com
Detecting malicious user accounts on Twitter has become an active area of research in
social network analysis. This kind of ill-intentioned users send undesired tweets to other …

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 …