Understanding Teenagers’ Real and Fake News Sharing on Social Media

Abstract: In this paper, we present results from our research work focused on understanding teenagers’ real and fake news sharing on social media. Using existing real/fake news samples and best practices in qualitative, inductive data analysis, we identify factors that explain teenagers’ sharing and not sharing behavior of real and fake news. Our findings suggest that influencing teenagers’ decisions to share or not share news on social media requires changes in the knowledge of what is found in social media and enhancement of knowledge of the algorithmic effects of sharing or not sharing.

Adversarial Attacks on Fake News Detectors with Real User Comments

Submitted

Transformer Reinforcement Learning Approach to Attack Automatic Fake News Detectors

Work in Progress