Detecting fake news on Covid-19 using machine learning algorithms

Simple item page
bracu.degree.levelUndergraduate
bracu.type.groupStudent Works
datacite.rightsOpen Access
dc.contributor.advisorJahan, Sifat E
dc.contributor.advisorRasel, Annajiat Alim
dc.contributor.authorHossain, Farhan
dc.contributor.authorHasan, Md Zahid
dc.contributor.authorHasan, Sourov
dc.contributor.authorAlam, Mobassherul
dc.contributor.authorShahana, Afrin
dc.contributor.departmentDepartment of Computer Science and Engineering
dc.date.accessioned2023-10-15T05:01:03Z
dc.date.available2023-10-15T05:01:03Z
dc.date.copyright©2022
dc.date.issued5/29/2022
dc.descriptionCataloged from PDF version of thesis.
dc.descriptionIncludes bibliographical references (pages 23-24).
dc.descriptionThis thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.en_US
dc.description.abstractThe 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.en_US
dc.description.degreeBachelor of Science in Computer Science and Engineering
dc.description.statementofresponsibilityFarhan Hossain
dc.description.statementofresponsibilityMd Zahid Hasan
dc.description.statementofresponsibilitySourov Hasan
dc.description.statementofresponsibilityMobassherul Alam
dc.description.statementofresponsibilityAfrin Shahana
dc.format.extent34 pages
dc.identifier.otherID 17101484
dc.identifier.otherID 17201060
dc.identifier.otherID 17301091
dc.identifier.otherID 17301135
dc.identifier.otherID 19201120
dc.identifier.urihttp://hdl.handle.net/10361/21806
dc.language.isoenen_US
dc.publisherBRAC Universityen_US
dc.rightsBrac 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.
dc.subjectCovid-19en_US
dc.subjectFake Covid-19 newsen_US
dc.subjectMachine learningen_US
dc.subjectClassifiersen_US
dc.subjectDatasetsen_US
dc.subject.lcshEpidemics
dc.subject.lcshDisinformation
dc.titleDetecting fake news on Covid-19 using machine learning algorithmsen_US
dc.typeThesisen_US

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
17101484, 17201060, 17301091, 19201120_CSE.pdf
Size:
1.46 MB
Format:
Adobe Portable Document Format
Description:
Download

License bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Thesis (Bachelor of Science in Computer Science and Engineering)