Machine Learning for Fake News Detection Analysis
The COVID-19 outbreak has required some health and financial decisions to be made in an unwieldy manner. This has spread uncertainty and lies all over the world. The transmission of false information has been compounded by the problems with fake news. Many of them gave up on newspapers, magazi...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
INTI International University
2024
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| Subjects: | |
| Online Access: | http://eprints.intimal.edu.my/1923/ http://eprints.intimal.edu.my/1923/1/jods2024_08.pdf |
| _version_ | 1848766872649990144 |
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| author | S., Abhilasha R., Ushasree Che Fuzlina, Mohd Fuad |
| author_facet | S., Abhilasha R., Ushasree Che Fuzlina, Mohd Fuad |
| author_sort | S., Abhilasha |
| building | INTI Institutional Repository |
| collection | Online Access |
| description | The COVID-19 outbreak has required some health and financial decisions to be made in an
unwieldy manner. This has spread uncertainty and lies all over the world. The transmission of
false information has been compounded by the problems with fake news. Many of them gave
up on newspapers, magazines, and other print media in favor of Internet pleasure. Online
entertainment has become the primary news source for a sizable percentage of the population
due to its ease of access, low cost, and rapid spread. In some circumstances, bogus information
spreads faster than true information to gain popularity over internet entertainment and divert
people from the underlying issues. People spread false information using online entertainment
for commercial and political benefit. To avoid a harmful influence on society, it is critical to
immediately recognize bogus information in all systems. To demonstrate the efficiency of the
grouping on the dataset, we produced and tested numerous AI computations independently for
this assignment, which looks into research on the recognition of fake news. The Jupyter
Notebook stage of this project was used, and the execution was assessed. |
| first_indexed | 2025-11-14T11:58:03Z |
| format | Article |
| id | intimal-1923 |
| institution | INTI International University |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T11:58:03Z |
| publishDate | 2024 |
| publisher | INTI International University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | intimal-19232024-06-04T07:34:45Z http://eprints.intimal.edu.my/1923/ Machine Learning for Fake News Detection Analysis S., Abhilasha R., Ushasree Che Fuzlina, Mohd Fuad Q Science (General) QA Mathematics QA75 Electronic computers. Computer science The COVID-19 outbreak has required some health and financial decisions to be made in an unwieldy manner. This has spread uncertainty and lies all over the world. The transmission of false information has been compounded by the problems with fake news. Many of them gave up on newspapers, magazines, and other print media in favor of Internet pleasure. Online entertainment has become the primary news source for a sizable percentage of the population due to its ease of access, low cost, and rapid spread. In some circumstances, bogus information spreads faster than true information to gain popularity over internet entertainment and divert people from the underlying issues. People spread false information using online entertainment for commercial and political benefit. To avoid a harmful influence on society, it is critical to immediately recognize bogus information in all systems. To demonstrate the efficiency of the grouping on the dataset, we produced and tested numerous AI computations independently for this assignment, which looks into research on the recognition of fake news. The Jupyter Notebook stage of this project was used, and the execution was assessed. INTI International University 2024-05-29 Article PeerReviewed text en cc_by_4 http://eprints.intimal.edu.my/1923/1/jods2024_08.pdf S., Abhilasha and R., Ushasree and Che Fuzlina, Mohd Fuad (2024) Machine Learning for Fake News Detection Analysis. Journal of Data Science, 2024 (08). pp. 1-9. ISSN 2805-5160 http://ipublishing.intimal.edu.my/jods.html |
| spellingShingle | Q Science (General) QA Mathematics QA75 Electronic computers. Computer science S., Abhilasha R., Ushasree Che Fuzlina, Mohd Fuad Machine Learning for Fake News Detection Analysis |
| title | Machine Learning for Fake News Detection Analysis |
| title_full | Machine Learning for Fake News Detection Analysis |
| title_fullStr | Machine Learning for Fake News Detection Analysis |
| title_full_unstemmed | Machine Learning for Fake News Detection Analysis |
| title_short | Machine Learning for Fake News Detection Analysis |
| title_sort | machine learning for fake news detection analysis |
| topic | Q Science (General) QA Mathematics QA75 Electronic computers. Computer science |
| url | http://eprints.intimal.edu.my/1923/ http://eprints.intimal.edu.my/1923/ http://eprints.intimal.edu.my/1923/1/jods2024_08.pdf |