News Updates Monday 25th Nov 2024 :
  • Welcome to INPRESSCO, world's leading publishers, We have served more than 10000+ authors
  • Articles are invited in engineering, science, technology, management, industrial engg, biotechnology etc.
  • Paper submission is open. Submit online or at editor.ijcet@inpressco.com
  • Our journals are indexed in NAAS, University of Regensburg Germany, Google Scholar, Cross Ref etc.
  • DOI is given to all articles

Fake News Detection using Machine Learning


Author : Navhal Ritesh S. and Mrs. Bhagyashree Dhakulkar

Pages : 925-928
Download PDF
Abstract

The proliferation of misleading information in everyday access media outlets such as social media feeds, news blogs, and online newspapers have made it challenging to identify trustworthy news sources In this paper, we focus on the automatic identification of fake content in news. In this paper, we focus on the automatic identification of fake content in news. This aims at investigating the principles, methodologies and algorithms for detecting fake news articles, creators and subjects from online social networks and evaluating. It is observed that LSTM may the best results. In this different set of embedding’s for pre-processing the data was fed to our LSTM mode. Corresponding performance and multiple machine learning algorithms and detection process as studied in detail and present several exploratory analyses on the identification of linguistic differences in fake and legitimate news content are presented.

Keywords: Fake news detection using ML ,fake news detection, machine learning LSTM algorithms

Call for Papers
  1. IJCET- Current Issue
  2. Issues are published in Feb, April, June, Aug, Oct and Dec
  3. DOI is given to all articles
  • Inpressco Google Scholar
  • Inpressco Science Central
  • Inpressco Global impact factor
  • Inpressco aap

International Press corporation is licensed under a Creative Commons Attribution-Non Commercial NoDerivs 3.0 Unported License
©2010-2023 INPRESSCO® All Rights Reserved