Zobrazeno 1 - 10
of 1 844
pro vyhledávání: '"fake news detection"'
Publikováno v:
Online Information Review, 2024, Vol. 48, Issue 5, pp. 857-868.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/OIR-11-2022-0629
Autor:
Weiqiang Jin, Ningwei Wang, Tao Tao, Bohang Shi, Haixia Bi, Biao Zhao, Hao Wu, Haibin Duan, Guang Yang
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-22 (2024)
Abstract With the rapid growth of social media, fake news (rumors) are rampant online, seriously endangering the health of mainstream social consciousness. Fake news detection (FEND), as a machine learning solution for automatically identifying fake
Externí odkaz:
https://doaj.org/article/930323005eb641609c0a295c4bf90d79
An Efficient Fake News Detection System Using Contextualized Embeddings and Recurrent Neural Network
Autor:
Junaid Ali Reshi, Rashid Ali
Publikováno v:
International Journal of Interactive Multimedia and Artificial Intelligence, Vol 8, Iss 6, Pp 38-50 (2024)
Fake news is detrimental for society and individuals. Since the information dissipation through online media is too quick, an efficient system is needed to detect and counter the propagation of fake news on social media. Many studies have been perfor
Externí odkaz:
https://doaj.org/article/ac436a883fed432a9ed178b1cb84b90d
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 4, Pp 5851-5863 (2024)
Abstract The prevalence of online misinformation, termed “fake news”, has exponentially escalated in recent years. These deceptive information, often rich with multimodal content, can easily deceive individuals into spreading them via various soc
Externí odkaz:
https://doaj.org/article/c720d72524504e36a7545de72b276407
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 4, Pp 5153-5170 (2024)
Abstract Emergent news is characterized by few labels, and news detection methods that rely on a large number of labels are difficult to apply to learned features for emerging events and are ineffective in coping with less labeled emergent news detec
Externí odkaz:
https://doaj.org/article/85553218019a49399e543ea8ad9d0d20
An adaptive hybrid african vultures-aquila optimizer with Xgb-Tree algorithm for fake news detection
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-41 (2024)
Abstract Online platforms and social networking have increased in the contemporary years. They are now a major news source worldwide, leading to the online proliferation of Fake News (FNs). These FNs are alarming because they fundamentally reshape pu
Externí odkaz:
https://doaj.org/article/559e42042942433787853298e895bd9d
Akademický článek
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Autor:
Howaida Al Ibraheemi, Mohammed Jabardi
Publikováno v:
Journal of Kufa for Mathematics and Computer, Vol 11, Iss 2 (2024)
Many people get their news via the Internet and social media platforms, and given the rapid growth of these platforms, fake news may now spread easily and quickly. False information that aims to mislead and harm society and the individual is known as
Externí odkaz:
https://doaj.org/article/27eebcd745804a839fd15384e5b587cb
Autor:
khalid shaker Alhity, Arwa Alqudsi
Publikováno v:
Iraqi Journal for Computer Science and Mathematics, Vol 5, Iss 3 (2024)
Fake news has spread more widely over the past few years. The development of social media and internet websites has fueled the spread of fake news, causing it to mix with accurate information. The majority of studies on Fake News Detection FND were i
Externí odkaz:
https://doaj.org/article/948abfdb24da460d9e6b36388c405bce
Publikováno v:
Heliyon, Vol 10, Iss 16, Pp e35865- (2024)
The digital era has expanded social exposure with easy internet access for mobile users, allowing for global communication. Now, people can get to know what is going on around the globe with just a click; however, this has also resulted in the issue
Externí odkaz:
https://doaj.org/article/c903e53914554ebebfe65ce104192467