Fake news detection of covid-19 using machine learning techniques

Paper

Ghosh, Promila, Raihan, M., Hassan, Md Mehedi, Akter, Laboni, Zaman, Sadika and Awal, Md Abdul. 2022. "Fake news detection of covid-19 using machine learning techniques." 4th International Conference on Intelligent Computing and Optimization 2021 (ICO2021). Hua Hin, Thailand 30 - 31 Dec 2021 Switzerland . Springer. https://doi.org/10.1007/978-3-030-93247-3_46
Paper/Presentation Title

Fake news detection of covid-19 using machine learning techniques

Presentation TypePaper
AuthorsGhosh, Promila, Raihan, M., Hassan, Md Mehedi, Akter, Laboni, Zaman, Sadika and Awal, Md Abdul
Journal or Proceedings TitleProceedings of the 4th International Conference on Intelligent Computing and Optimization 2021 (ICO2021)
Journal Citation371, pp. 467-476
Number of Pages10
Year2022
PublisherSpringer
Place of PublicationSwitzerland
ISSN2367-3370
2367-3389
ISBN9783030932473
9783030932466
Digital Object Identifier (DOI)https://doi.org/10.1007/978-3-030-93247-3_46
Web Address (URL) of Paperhttps://link.springer.com/chapter/10.1007/978-3-030-93247-3_46
Web Address (URL) of Conference Proceedingshttps://link.springer.com/book/10.1007/978-3-030-93247-3
Conference/Event4th International Conference on Intelligent Computing and Optimization 2021 (ICO2021)
Event Details
4th International Conference on Intelligent Computing and Optimization 2021 (ICO2021)
Delivery
In person
Event Date
30 to end of 31 Dec 2021
Event Location
Hua Hin, Thailand
Abstract

Covid-19 or Coronavirus is the most popular common term in recent time. The SARS-CoV-2 virus caused a pandemic of respiratory disturbance which is named as COVID-19. The coronavirus is outspread through drop liquids as well as virus bits which are released into the air by an infected person’s breathing, coughing or sneezing. This pandemic has become a great death threat to the people, even the children too. It’s quite unexpected that some corrupted individuals spread false or fake news to disrupt the social balance. Due to the news misguidance, numerous people have been misled for taking proper care. For this issue, we have analyzed some machine learning techniques, among them, an ensemble method Random forest has gained 90% with the best exactitude. The other models Naive Bayes got 85%, as well as another ensemble method created by Naive Bayes with Support Vector Machine (SVM), gained the exactitude as 88%.

KeywordsCoronavirus; Fake news detection; Ensemble learning; Random forest; Naive Bayes
Contains Sensitive ContentDoes not contain sensitive content
ANZSRC Field of Research 2020461199. Machine learning not elsewhere classified
Public Notes

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SeriesLecture Notes in Networks and Systems (LNNS)
Byline AffiliationsNorth Western University, Bangladesh
Khulna University of Engineering and Technology, Bangladesh
Khulna University, Bangladesh
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