An intelligent cybersecurity system for detecting fake news in social media websites
People worldwide suffer from fake news in many life aspects, healthcare, transportation, education, economics, and many others. Therefore, many researchers have considered seeking techniques for automatically detecting fake news in the last decade. The most popular news agencies use e-publishing on...
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| Other Authors: | , , , , , , |
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2022
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| Online Access: | https://depot.sorbonne.ae/handle/20.500.12458/1273 |
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| _version_ | 1857415064379719680 |
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| author | Zitar, Raed |
| author2 | Mughaid, Ala Al-Zu'bi, Shadi Arjan, A Al-Amrat, Rula Alajmi, Rathaa Abualigah, Laith Maalej, Ahmed |
| author2_role | author author author author author author author |
| author_facet | Zitar, Raed Mughaid, Ala Al-Zu'bi, Shadi Arjan, A Al-Amrat, Rula Alajmi, Rathaa Abualigah, Laith Maalej, Ahmed |
| author_role | author |
| dc.creator.none.fl_str_mv | Zitar, Raed Mughaid, Ala Al-Zu'bi, Shadi Arjan, A Al-Amrat, Rula Alajmi, Rathaa Abualigah, Laith Maalej, Ahmed |
| dc.date.none.fl_str_mv | 2022-04-25T05:10:30Z 2022-04-25T05:10:30Z 2022 |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | 10.1007/s00500-022-07080-1 https://depot.sorbonne.ae/handle/20.500.12458/1273 10.1007/s00500-022-07080-1 |
| dc.language.none.fl_str_mv | en |
| dc.relation.none.fl_str_mv | Soft Computing 1432-7643 |
| dc.subject.none.fl_str_mv | Artificial intelligence Cybersecurity Fake news Text processing Cyber privacy Social media accuracy |
| dc.title.none.fl_str_mv | An intelligent cybersecurity system for detecting fake news in social media websites |
| dc.type.none.fl_str_mv | Controlled Vocabulary for Resource Type Genres::text::periodical::journal::contribution to journal::journal article |
| description | People worldwide suffer from fake news in many life aspects, healthcare, transportation, education, economics, and many others. Therefore, many researchers have considered seeking techniques for automatically detecting fake news in the last decade. The most popular news agencies use e-publishing on their websites; even websites can publish any news they want. However, thus before quotation any news from a website, there should be a close look at news resource ranking by using a trusted websites classifier, such as the website world rank, which reflects the repute of these websites. This paper uses the world rank of news websites as the main factor of news accuracy by using two widespread and trusted websites ranking. Moreover, a secondary factor is proposed to compute the news accuracy similarity by comparing the current news with fakes news and getting the possible news accuracy. Experiments results are conducted on several benchmark datasets. The results showed that the proposed method got promising results compared to other comparative methods in defining the news accuracy. |
| id | sorbonner_5973ef62c7708c047cfd1363f7ea50df |
| identifier_str_mv | 10.1007/s00500-022-07080-1 |
| language_invalid_str_mv | en |
| network_acronym_str | sorbonner |
| network_name_str | Sorbonne University Abu Dhabi repository |
| oai_identifier_str | oai:depot.sorbonne.ae:20.500.12458/1273 |
| publishDate | 2022 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | An intelligent cybersecurity system for detecting fake news in social media websitesZitar, RaedMughaid, AlaAl-Zu'bi, ShadiArjan, AAl-Amrat, RulaAlajmi, RathaaAbualigah, LaithMaalej, AhmedArtificial intelligenceCybersecurityFake newsText processingCyber privacySocial media accuracyPeople worldwide suffer from fake news in many life aspects, healthcare, transportation, education, economics, and many others. Therefore, many researchers have considered seeking techniques for automatically detecting fake news in the last decade. The most popular news agencies use e-publishing on their websites; even websites can publish any news they want. However, thus before quotation any news from a website, there should be a close look at news resource ranking by using a trusted websites classifier, such as the website world rank, which reflects the repute of these websites. This paper uses the world rank of news websites as the main factor of news accuracy by using two widespread and trusted websites ranking. Moreover, a secondary factor is proposed to compute the news accuracy similarity by comparing the current news with fakes news and getting the possible news accuracy. Experiments results are conducted on several benchmark datasets. The results showed that the proposed method got promising results compared to other comparative methods in defining the news accuracy.2022-04-25T05:10:30Z2022-04-25T05:10:30Z2022Controlled Vocabulary for Resource Type Genres::text::periodical::journal::contribution to journal::journal articleapplication/pdf10.1007/s00500-022-07080-1https://depot.sorbonne.ae/handle/20.500.12458/127310.1007/s00500-022-07080-1enSoft Computing1432-7643oai:depot.sorbonne.ae:20.500.12458/12732022-11-14T05:18:56Z |
| spellingShingle | An intelligent cybersecurity system for detecting fake news in social media websites Zitar, Raed Artificial intelligence Cybersecurity Fake news Text processing Cyber privacy Social media accuracy |
| title | An intelligent cybersecurity system for detecting fake news in social media websites |
| title_full | An intelligent cybersecurity system for detecting fake news in social media websites |
| title_fullStr | An intelligent cybersecurity system for detecting fake news in social media websites |
| title_full_unstemmed | An intelligent cybersecurity system for detecting fake news in social media websites |
| title_short | An intelligent cybersecurity system for detecting fake news in social media websites |
| title_sort | An intelligent cybersecurity system for detecting fake news in social media websites |
| topic | Artificial intelligence Cybersecurity Fake news Text processing Cyber privacy Social media accuracy |
| url | https://depot.sorbonne.ae/handle/20.500.12458/1273 |