An intelligent cybersecurity system for detecting fake news in social media websites

被引：0

作者：

Ala Mughaid

Shadi Al-Zu’bi

Ahmed AL Arjan

Rula AL-Amrat

Rathaa Alajmi

Raed Abu Zitar

Laith Abualigah

机构：

[1] The Hashemite University,Department of Information Technology, Faculty of prince Al

[2] Al-Zaytoonah University of Jordan,Hussien bin Abdullah for IT

[3] Sorbonne University-Abu Dhabi,Faculty of Science and IT

[4] Amman Arab University,Sorbonne Center of Artificial Intelligence

[5] Universiti Sains Malaysia,Faculty of Computer Sciences and Informatics

来源：

Soft Computing | 2022年 / 26卷

关键词：

Artificial intelligence; Cybersecurity; Fake news; Text processing; Cyber privacy; Social media accuracy;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

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.

引用

页码：5577 / 5591

页数：14

共 50 条

[1] An intelligent cybersecurity system for detecting fake news in social media websites
Mughaid, Ala
Al-Zu'bi, Shadi
Al Arjan, Ahmed
AL-Amrat, Rula
Alajmi, Rathaa
Abu Zitar, Raed
Abualigah, Laith
[J]. SOFT COMPUTING, 2022, 26 (12) : 5577 - 5591
[2] Detecting Fake News in Social Media Networks
Aldwairi, Monther
Alwahedi, Ali
[J]. 9TH INTERNATIONAL CONFERENCE ON EMERGING UBIQUITOUS SYSTEMS AND PERVASIVE NETWORKS (EUSPN-2018) / 8TH INTERNATIONAL CONFERENCE ON CURRENT AND FUTURE TRENDS OF INFORMATION AND COMMUNICATION TECHNOLOGIES IN HEALTHCARE (ICTH-2018), 2018, 141 : 215 - 222
[3] Evaluating Intelligent Methods for Detecting COVID-19 Fake News on Social Media Platforms
Alhakami, Hosam
Alhakami, Wajdi
Baz, Abdullah
Faizan, Mohd
Khan, Mohd Waris
Agrawal, Alka
[J]. ELECTRONICS, 2022, 11 (15)
[4] Detecting Fake News in Social Media Using Voting Classifier
Elsaeed, Eman
Ouda, Osama
Elmogy, Mohammed M.
Atwan, Ahmed
El-Daydamony, Eman
[J]. IEEE ACCESS, 2021, 9 : 161909 - 161925
[5] Detecting Fake News in Social Media: An Asia-Pacific Perspective
Cha, Meeyoung
Gao, Wei
Li, Cheng-Te
[J]. COMMUNICATIONS OF THE ACM, 2020, 63 (04) : 68 - 71
[6] Emotions unveiled: detecting COVID-19 fake news on social media
Farhoudinia, Bahareh
Ozturkcan, Selcen
Kasap, Nihat
[J]. HUMANITIES & SOCIAL SCIENCES COMMUNICATIONS, 2024, 11 (01):
[7] Detecting Fake News With Weak Social Supervision
Shu, Kai
Dumais, Susan
Awadallah, Ahmed Hassan
Liu, Huan
[J]. IEEE INTELLIGENT SYSTEMS, 2021, 36 (04) : 96 - 103
[8] DETECTING FAKE IDENTITIES ON SOCIAL MEDIA
Azri, Hakim
Belbachir, Hafida
[J]. PROCEEDINGS OF THE INTERNATIONAL CONFERENCES ON ICT, SOCIETY AND HUMAN BEINGS 2015, WEB BASED COMMUNITIES AND SOCIAL MEDIA 2015 AND CONNECTED SMART CITIES 2015, 2015, : 227 - 230
[9] Detecting Fake Accounts on Social Media
Khaled, Sarah
El-Tazi, Neamat
Mokhtar, Hoda M. O.
[J]. 2018 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2018, : 3672 - 3681
[10] Flagging fake news on social media: An experimental study of media consumers' identification of fake news
Gaozhao, Dongfang
[J]. GOVERNMENT INFORMATION QUARTERLY, 2021, 38 (03)

← 1 2 3 4 5 →