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Fake news detection using machine learning

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- Fake news detection using machine learning: The paper presents a method for detecting fake news articles, creators and subjects from online social networks using various machine learning algorithms and techniques¹[1]. - Motivation and objectives: The paper aims to address the problem of fake news, which has negative impacts on individual and society, by developing a model that can accurately predict the likelihood of a given article being fake or real²[2]. - Overview of the project: The paper describes the steps involved in the project, such as data collection, preprocessing, feature extraction, and classifier training. The paper also discusses the challenges and limitations of the project, such as data quality, scalability, and bias. - Literature survey: The paper reviews the existing literature on fake news detection, covering different aspects such as media rich content, weakly supervised learning, social media analysis, and clickbait detection. The paper also identifies the research gaps and opportunities in this field.

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FAKE NEWS DETECTION USING MACHINE
LEARNING

Submitted in partial fulfillment of the requirements for
the award of

Bachelor of Engineering degree in Computer Science and Engineering

by
VISHNU.A (37110014)




DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING

SCHOOL OF COMPUTING

SATHYABAMA
INSTITUTE OF SCIENCE AND TECHNOLOGY
(DEEMED TO BE UNIVERSITY)
Accredited with Grade “A” by NAA

JEPPIAAR NAGAR, RAJIV GANDHI SALAI,
CHENNAI - 600 119

APRIL - 2021




i

, SATHYABAMA

INSTITUTE OF SCIENCE AND TECHNOLOGY

(DEEMED TO BE UNIVERSITY)
Accredited with “A” grade by NAAC
Jeppiaar Nagar, Rajiv Gandhi Salai, Chennai –
600119
www.sathyabama.ac.in



DEPARTMENTOFCOMPUTER SCIENCE AND ENGINEERING

BONAFIDE CERTIFICATE

This is to certify that this Project Report is the bonafide work of VISHNU.A (37110014)
who carried out the project entitled as Fake News Detection Using Machine Learning
under my supervision from November 2020 to April 2021.




Internal Guide

Mr. VIGNESH. R, M.E., (Ph.D.,)



Head of the Department

Dr. S. VIGNESHWARI, M.E., Ph.D.,

Dr. L. LAKSHMANAN, M.E., Ph.D.,


Submitted for Viva voce Examination heldon



Internal Examiner External Examiner




ii

, DECLARATION


IVishnu.A (37110014) hereby declare that the Project Report entitled“Fake News
Detection Using Machine Learning” done by me under the guidance ofMr.
Vignesh. R, M.E., (Ph.D.,) is submitted in partial fulfillment of the requirements for
the award ofBachelor of Engineering degree in Computer Science and Engineering.




DATE: SIGNATURE OF THE CANDIDATE

PLACE:




iii

, ACKNOWLEDGEMENT




I am pleased to acknowledge our sincere thanks to Board of Management of
Sathyabama Institute Of Science And Technology for their kind encouragement
in doing this project and for completing it successfully. I am grateful to them.

I convey my thanks toDr. T. Sasikala, M.E., Ph.D., Dean, Schoolof Computing, Dr.
S. Vigneshwari, M.E., Ph.D., and Dr. L. Lakshmanan, M.E., Ph.D., Headsofthe
Department of Computer Scienceand Engineeringfor providing menecessary support
and details at the right time during the progressive reviews.

I would like to express my sincere and deep sense of gratitude to my Project Guide
Mr. Vignesh. R, M.E., (Ph.D.,)for his valuable guidance, suggestions and
constantencouragement paved way for the successful completion of our project
work.

I wish to express my thanks to all Teaching and Non-teaching staff members of the
Departmentof Computer Science and Engineering who were helpful in many
ways for thecompletion of the project.




iv

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Geschreven in
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