Dr.Shruthi SK
@methodist.com
Assistant Professor/CSE
Methodist College of Engineering and Technology
SK is an Academician and having an experience of 13+ years. Possessing an industry experience of around 6 years, She is currently associated with the Department of Computer Science and Engineering in Methodist College of Engineering and Technology, Hyderabad as an Assistant professor. She has received her MTech(CSE) degree from JNTU, Hyderabad in 2015. She has completed her doctorate from SSSUMTS, Bhopal in 2021. Her area of research includes Information security and Advanced databases
EDUCATION
B.Tech,MBA,M.Tech,Ph.D
RESEARCH, TEACHING, or OTHER INTERESTS
Computer Science Applications, Computer Science, Computer Engineering
Scopus Publications
Scholar Citations
Scholar h-index
Scopus Publications
Lingala Thirupathi, G. Rekha, S. K. Shruthi, B. Sowjanya, and Sowmya Jujuroo
Springer Nature Singapore
Lingala Thirupathi, Rekha gangula, Sandeep Ravikanti, Jujuroo Sowmya, and S K Shruthi
IOP Publishing
Abstract In these modern times where internet has become widely popular and used by almost everyone, anyone can share or upload articles without any credibility. False news refers to articles that are published with the intent of deliberately misleading readers. In the recent times false news on internet has become more and it has become a major problem as it is difficult to differentiate between the real and the false news. False news and false posts have become more prevalent on social media sites such as Face book and Twitter. From these platforms the news will be spread like wild fire without any authenticity. It can be used to sway election outcomes against certain candidates, can be used for click baiting purposes, and can be used to earn revenue by misleading the users. In this paper we will use natural language processing techniques like bag of words and TD-IDF and machine learning concepts of classification algorithms like SVM and passive aggressive classifier to train our machine to differentiate false news from real news and we will compare the accuracy of methods used to find accurate model.