• Yemineni Sowjanya
• Dr. R. Dinesh Kumar
• A.Manikanta

Social networks (OSN) have become a kind of link between people and violent incidents linked to NSOs. The growing popularity of OSN can be attributed to the rapid development of network technology. OSN can be an easy way to distribute media (information/content) on the Internet. In the framework of modern technology, there is a need to develop ways to reduce the spread of false messages or slander that can harm society. This article provides an example of reading about the existence of such messages, which are currently framed as false information. The proposed framework describes how misinformation spreads between groups under the influence of different measures to suppress misinformation. With the emergence of a new coronavirus-19 epidemic, called COVID-19, the prevalence of epidemic propaganda has increased at an unprecedented rate. As we write this article, our goal is to create a framework that helps identify and remove fake OSN information and reduce stress on other OSN users as a result of this scourge. A system of different balances is used to simulate a model. Its stability and balance are also analyzed in depth. The number of basic updates received (R0) is an important criterion to analyze the messages distributed in OSN. If the value of R0 is less than one (R0 <; 1), the bogus message sent to the network is not acknowledged, otherwise, the operator R0> 1 continues in OSN. The current trend of spreading false information is analyzed in OSN. The model then looks at management techniques to spread unreliable messages. The proposed structure has also been tested through extensive narratives and experiments.

Defensive Modeling of Fake News through Online Social Networks

"Defensive Modeling of Fake News through Online Social Networks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 7, page no.a272-a278, July-2022, Available :http://www.jetir.org/papers/JETIR2207034.pdf

"Defensive Modeling of Fake News through Online Social Networks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 7, page no. ppa272-a278, July-2022, Available at : http://www.jetir.org/papers/JETIR2207034.pdf