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 …

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 …

The rapid and accurate identification of bot accounts in online social networks is an ongoing
challenge. In this paper, we propose BotTriNet, a unified embedding framework that …

With the aid of several models and information, the machine learning model's spam
message identification has been carried out correctly. In order to provide accurate …

As social media platforms continue their exponential growth, so do the threats targeting their
security. Detecting disguised spam messages poses an immense challenge owing to the …

e‐mail service providers and consumers find it challenging to distinguish between spam and
nonspam e‐mails. The purpose of spammers is to spread false information by sending …

Although not all bots are malicious, the vast majority of them are responsible for spreading
misinformation and manipulating the public opinion about several issues, ie, elections and …

Text classification has critical applications, including healthcare, where it can assist patients
in locating specialized clinics based on their symptom descriptions. This can enhance …

Text classification is a fundamental task in natural language processing, and has been
widely studied for various languages. However, Arabic text classification is challenging due …

Twitter is a social media service that is often used (popular) as a means of communication
between users. Twitter's popularity makes spammers spam for personal purposes and …