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Multiverse: Multilingual Evidence for Fake News Detection [PDF]
Journal of Imaging, 2023 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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International Journal of Advanced Research in Science, Communication and Technology, 2019 Abstract: The rapid dissemination of fake news online presents a significant challenge to information integrity and public trust. Traditional supervised learning approaches for fake news detection are often limited by their reliance on large, labeled, and domain-specific datasets, hindering their adaptability to new and emerging forms of misinformation.
null Mayank Kulkarni +3 more
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FinFakeBERT: financial fake news detection [PDF]
Frontiers in Artificial IntelligenceThe 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]
PeerJ Computer ScienceThe 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
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An overview of fake news detection: From a new perspective [PDF]
Fundamental ResearchWith 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
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Fake news detection based on a hybrid BERT and LightGBM models [PDF]
Complex & Intelligent Systems, 2023 With the rapid growth of social networks and technology, knowing what news to believe and what not to believe become a challenge in this digital era. Fake news is defined as provably erroneous information transmitted intending to defraud.
Ehab Essa, Karima Omar, Ali Alqahtani
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Detecting Vietnamese fake news
CTU Journal of Innovation and Sustainable Development, 2023 This paper focuses on constructing a dataset consisting of both fake news and factual news in the Vietnamese language. We employ Deep Learning models, namely Long Short-Term Memory, bidirectional Long Short-Term Memory, and Convolutional Neural Network -
Duc Vinh Vo, Phuc Do
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Real-time fake news detection in online social networks: FANDC Cloud-based system [PDF]
Scientific ReportsSocial 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
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International Research Journal of Modernization in Engineering Technology and Science, 2023 Everyone nowadays gets their news from a variety of online sources in the age of the internet. The news quickly reached millions of users thanks to the increasing use of social media platforms like Facebook and Twitter. The most prevalent form of unverified and false information is rumors and fake news, both of which should be flagged as soon as ...
Ansuman Ravi Raj +3 more
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INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT, 2022 The art of tampering with original facts has been going on since edges. The recent act of 2016 Presidential elections proceeded by Facebook and recently COVID19 brought up the term fake news detection. In this paper, we propose to use machine learning ensemble approach for automated classification of news articles. This paper revolves around to use the
null Abhishek, Satyam Kumar, Manoj Kumar
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