Results 1 to 10 of about 52,073 (210)
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
+16 more sources
Multiverse: Multilingual Evidence for Fake News Detection. [PDF]
J 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. Although significant progress has been made in this area, current methods are limited because they focus only on one language and do not incorporate multilingual ...
Dementieva D, Kuimov M, Panchenko A.
europepmc +6 more sources
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
+4 more sources
International Journal of Advanced Research in Science, Communication and Technology, 2021 This research paper aims to examine the principles, procedures and algorithms for finding fake news, creators and topics on online social networks and to evaluate the relevant performance. This paper deals with the unknown features of fake news and the challenges identified by the various relationships between news articles, creators and subjects. This
Lakesh Jat +3 more
openaire +2 more sources
Albanian Fake News Detection [PDF]
ACM Transactions on Asian and Low-Resource Language Information Processing, 2022 Recent years have witnessed the vast increase of the phenomenon known as the fake news. Among the main reasons for this increase are the continuous growth of internet and social media usage and the real-time information dissemination opportunity offered by them.
Ercan Canhasi +2 more
openaire +1 more source
Fake News Early Detection [PDF]
Digital Threats: Research and Practice, 2020 Massive dissemination of fake news and its potential to erode democracy has increased the demand for accurate fake news detection. Recent advancements in this area have proposed novel techniques that aim to detect fake news by exploring how it propagates on social networks. Nevertheless, to detect fake news at an early stage, i.e., when it is published
Xinyi Zhou +3 more
openaire +1 more source
Sentiment aware fake news detection on online social networks [PDF]
, 2019 Messages posted to online social networks (OSNs) causes a recent stir due to the intended spread of fake news or rumor. In this work, we aim to understand and analyse the characteristics of fake news especially in relation to sentiments, to ...
Ajao, Seun +2 more
core +2 more sources
Faking Fake News for Real Fake News Detection: Propaganda-Loaded Training Data Generation
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023 Accepted by ACL ...
Huang, Kung-Hsiang +4 more
openaire +2 more sources
OPCNN-FAKE: Optimized Convolutional Neural Network for Fake News Detection [PDF]
IEEE Access, 2021 Recently, there is a rapid and wide increase in fake news, defined as provably incorrect information spread with the goal of fraud. The spread of this type of misinformation is a severe danger to social cohesiveness and well-being since it increases political polarisation and people’s distrust of their leaders.
Hager Saleh +2 more
openaire +3 more sources