Fake News Detection of Indian and United States Election Data using Machine Learning Algorithm
Anant Kumar1, Satwinder Singh2, Gurpreet Kaur3

1Anant Kumar, Pursuing Masters of Technology (cyber security) from Central University of Punjab, Bathinda, Punjab, India.
2Dr. Satwinder Singh, Assistant Professor at Department of Computer Science and Technology, Central University of Punjab, Bathinda, Punjab,India.
3Mrs. Gurpreet, Department of Law, Bathinda College of Law, Bathinda, Punjab,India.

Manuscript received on 22 August 2019. | Revised Manuscript received on 02 September 2019. | Manuscript published on 30 September 2019. | PP: 1559-1563 | Volume-8 Issue-11, September 2019. | Retrieval Number: K18290981119/2019©BEIESP | DOI: 10.35940/ijitee.K1829.0981119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The world of digital media is thriving by the day and hence, there is an urge of businesses to magnify it more gaining them maximum financial benefits. This particular urge calls for more and more expansions concerning creating and developing new content whether it’s in the form of websites that aims at branding businesses or could be in the form of online newspapers and magazines. Since from last few decades’ medium of communication had changed. Now a day people are using social networks very extensively for news updates. These networks aim to make social lives better. Today, everyone knows and uses social media which contains unverified article, post, message and news. Nowadays’ fake news is making various issues from mocking articles to a created news and plan government publicity in certain outlets. Fake news and the absence of trust in the media are developing issues with immense consequences in our general public. It is needed to look into how the techniques in the fields of computer science using machine learning, natural language processing helps us to detect fake news. Fake news is now observed as one of the major threats to freedom of expression, journalism, and democracy of a country. In this research, a comprehensive way of detecting fake news using machine learning model has been presented that is trained by Fake News data based on US election and trained on recent Indian political Fake news.
Keywords: Fake News Detection, Machine Learning, Natural Language Toolkit, Text processing, Receiver Operating Characteristic ( ROC) curve.
Scope of the Article: