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Fake News Detection on Social Networks: A Survey
In recent years, social networks have developed rapidly and have become the main platform for the release and dissemination of fake news. The research on fake news detection has attracted extensive attention in the field of computer science.
Yanping Shen +4 more
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FinFakeBERT: financial fake news detection [PDF]
The intentional use of fake news for financial manipulation or the disruption of financial markets is a serious concern, particularly with the rise of generative artificial intelligence, which is expected to significantly increase its dissemination.
Bledar Fazlija +2 more
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Fake news detection: state-of-the-art review and advances with attention to Arabic language aspects [PDF]
The proliferation of fake news has become a significant threat, influencing individuals, institutions, and societies at large. This issue has been exacerbated by the pervasive integration of social media into daily life, directly shaping opinions, trends,
Eman Salamah Albtoush +2 more
doaj +3 more sources
An overview of fake news detection: From a new perspective [PDF]
With the rapid development and popularization of Internet technology, the propagation and diffusion of information become much easier and faster. While making life more convenient, the Internet also promotes the wide spread of fake news, which will have ...
Bo Hu, Zhendong Mao, Yongdong Zhang
doaj +2 more sources
Multiverse: Multilingual Evidence for Fake News Detection [PDF]
The rapid spread of deceptive information on the internet can have severe and irreparable consequences. As a result, it is important to develop technology that can detect fake news.
Daryna Dementieva +2 more
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Real-time fake news detection in online social networks: FANDC Cloud-based system [PDF]
Social networks have become a common way for people to communicate with each other and share ideas, thanks to their fast information-sharing features.
Nadire Cavus, Murat Goksu, Bora Oktekin
doaj +2 more sources
Fake news detection: a survey of evaluation datasets [PDF]
Fake news detection has gained increasing importance among the research community due to the widespread diffusion of fake news through media platforms. Many dataset have been released in the last few years, aiming to assess the performance of fake news ...
Arianna D’Ulizia +3 more
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Topic-Aware Fake News Detection Based on Heterogeneous Graph
In recent years, fake news has had a bad impact on individuals and society, which has aroused widespread concern about fake news detection. The existing heterogeneous graph-based fake news detection model (CompareNet) mainly focuses on the semantic ...
Lijuan Sun, Hongbin Wang
doaj +1 more source
Utilization Strategy of User Engagements in Korean Fake News Detection
Fake News (disinformation with malicious intent) has emerged as a major social problem. To address this issue, previous studies mainly utilized single information, the news content, to detect fake news.
Myunghoon Kang +3 more
doaj +1 more source
With the popularization of digital technology, the problem of information pollution caused by fake news has become more common. Malicious dissemination of harmful, offensive or illegal content may lead to misleading, misunderstanding and social unrest ...
Lu Yuan +4 more
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