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.
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Brac University
2023
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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 |
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Institutional Repository |
language |
English |
topic |
Covid-19 Fake Covid-19 news Machine learning Classifiers Datasets Epidemics Disinformation |
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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 |
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