Detecting fake news on Covid-19 using machine learning algorithms

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.

Bibliographic Details
Main Authors: Hossain, Farhan, Hasan, Md Zahid, Hasan, Sourov, Alam, Mobassherul, Shahana, Afrin
Other Authors: Jahan, Sifat E
Format: Thesis
Language:English
Published: Brac University 2023
Subjects:
Online Access:http://hdl.handle.net/10361/21806
id 10361-21806
record_format dspace
spelling 10361-218062023-10-15T21:05:07Z Detecting fake news on Covid-19 using machine learning algorithms Hossain, Farhan Hasan, Md Zahid Hasan, Sourov Alam, Mobassherul Shahana, Afrin Jahan, Sifat E Rasel, Annajiat Alim Department of Computer Science and Engineering, Brac University Covid-19 Fake Covid-19 news Machine learning Classifiers Datasets Epidemics Disinformation This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022. Cataloged from PDF version of thesis. Includes bibliographical references (pages 23-24). The expansion of the Internet and swift adoption of social media platforms such as Facebook, Twitter, Instagram, Reddit, etc., has seen news and information publicized in such a way that has never been perceived in human history before. This easy access to information has resulted in an exponential increase in the misleading and falsification of news. News articles with no valid source get circulated within a society causing chaos and confusion. This work examines existing techniques and technologies used to detect fake news and demonstrates a model that sees fake news using machine learning algorithms and evaluates its performance on real-world datasets. Farhan Hossain Md Zahid Hasan Sourov Hasan Mobassherul Alam Afrin Shahana 2023-10-15T05:01:03Z 2023-10-15T05:01:03Z ©2022 2022-05-29 Thesis ID 17101484 ID 17201060 ID 17301091 ID 17301135 ID 19201120 http://hdl.handle.net/10361/21806 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 34 pages application/pdf Brac University
institution Brac University
collection Institutional Repository
language English
topic Covid-19
Fake Covid-19 news
Machine learning
Classifiers
Datasets
Epidemics
Disinformation
spellingShingle Covid-19
Fake Covid-19 news
Machine learning
Classifiers
Datasets
Epidemics
Disinformation
Hossain, Farhan
Hasan, Md Zahid
Hasan, Sourov
Alam, Mobassherul
Shahana, Afrin
Detecting fake news on Covid-19 using machine learning algorithms
description This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.
author2 Jahan, Sifat E
author_facet Jahan, Sifat E
Hossain, Farhan
Hasan, Md Zahid
Hasan, Sourov
Alam, Mobassherul
Shahana, Afrin
format Thesis
author Hossain, Farhan
Hasan, Md Zahid
Hasan, Sourov
Alam, Mobassherul
Shahana, Afrin
author_sort Hossain, Farhan
title Detecting fake news on Covid-19 using machine learning algorithms
title_short Detecting fake news on Covid-19 using machine learning algorithms
title_full Detecting fake news on Covid-19 using machine learning algorithms
title_fullStr Detecting fake news on Covid-19 using machine learning algorithms
title_full_unstemmed Detecting fake news on Covid-19 using machine learning algorithms
title_sort detecting fake news on covid-19 using machine learning algorithms
publisher Brac University
publishDate 2023
url http://hdl.handle.net/10361/21806
work_keys_str_mv AT hossainfarhan detectingfakenewsoncovid19usingmachinelearningalgorithms
AT hasanmdzahid detectingfakenewsoncovid19usingmachinelearningalgorithms
AT hasansourov detectingfakenewsoncovid19usingmachinelearningalgorithms
AT alammobassherul detectingfakenewsoncovid19usingmachinelearningalgorithms
AT shahanaafrin detectingfakenewsoncovid19usingmachinelearningalgorithms
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