The Fake Propaganda on Tiktok: Measuring Gen Z’s Vulnerability and Building

Social media leader TikTok has transformed digital communication patterns mainly because Generation Z uses the platform. The community faces increased risk from fake news and misinformation because they extensively participate on social media combined with the automated content recommendation features. This paper investigates the scientific vulnerability of Gen Z to mislead content on TikTok through evaluation of platform architecture and user content preferences along with user psychological attributes. Analyzing the points of weakness enables us to create initiatives which reduce misinformation spread together with fostering media literacy education. The initial part of this analysis details how TikTok distributes information by studying its algorithm alongside user participation dynamics. The content recommendation engine of TikTok operates from user reaction data so the platform creates isolated information bubbles which promote the spread of misinformation. The research uses survey data to determine Gen Z experiences with deceptive propaganda on TikTok and their success at separating truthful from false content. The study demonstrates significant concern because numerous users lack skills to perform thorough content evaluation which exposes the requirement for specific educational interventions. The paper finishes with a proposed structure which aims to develop Gen Z user resistance against misinformation spread. The author recommends implementing media literacy education programs together with TikTok partnership to deploy content warning systems as well as community-led approaches that promote critical thinking abilities. Developing user awareness through education will help Gen Z members better analyze digital information which then decreases their dependency on fake propaganda for beliefs and behavioral patterns. The research goal supports creating an online environment where young users can view content responsibly for better critical evaluation.