Because online platforms have been among the hottest places for information diffusion and
discussion, a number of online news outlets operate content channels and provide news …

This paper aims to give a systematic review on how Social Network Analysis (SNA) Applied
in the psychology field of study. Research questions are used to analyse the dataset of …

A sample's distance from the decision boundary is a crucial indicator for predicting whether
a given sample is a member of the training set in label-only membership inference attacks …

Along with the advent of social networks such as Twitter; Politicians, social media, and
ordinary citizens regularly turn to them to share their thoughts and feelings, such as political …

Different works have demonstrated the relationship between personality traits and political
ideology and how they influence our daily lives. The challenge proposed in the IberLEF …

Membership inference attack is one of the most popular privacy attacks in machine learning,
which aims to predict whether a given sample was contained in the target model's training …

Understanding and mitigating political bias in online social media platforms are crucial tasks
to combat misinformation and echo chamber effects. However, characterizing political bias …

Abstract Online Social Networks (OSNs) have become an integral part of modern-day life.
People use Social Media platforms to share their thoughts, stories, and news, and major …

Abstract Social Networking Sites (SNS) such as Facebook and Twitter have become
important place for sharing one's views, belief, and ideas and communicating with family …

In today's digital era, Online Social Networks (OSNs) have emerged as powerful platforms
that shape the way we connect, communicate, and share information. Among these …