Results 11 to 20 of about 52,073 (210)
Credibility-Based Fake News Detection [PDF]
, 2020 Fake news can significantly misinform people who often rely on online sources and social media for their information. Current research on fake news detection has mostly focused on analyzing fake news content and how it propagates on a network of users. In this paper, we emphasize the detection of fake news by assessing its credibility.
Sitaula, Niraj +4 more
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Unsupervised Fake News Detection [PDF]
Proceedings of the 31st ACM Conference on Hypertext and Social Media, 2020 Fake news has become more prevalent than ever, correlating with the rise of social media that allows every user to rapidly publish their views or hearsay. Today, fake news spans almost every realm of human activity, across diverse fields such as politics and healthcare.
Gangireddy, Siva Charan +3 more
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Fake Detect: A Deep Learning Ensemble Model for Fake News Detection [PDF]
Complexity, 2021 Pervasive usage and the development of social media networks have provided the platform for the fake news to spread fast among people. Fake news often misleads people and creates wrong society perceptions. The spread of low‐quality news in social media has negatively affected individuals and society.
Nida Aslam +4 more
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"Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection
, 2017 Automatic fake news detection is a challenging problem in deception detection, and it has tremendous real-world political and social impacts. However, statistical approaches to combating fake news has been dramatically limited by the lack of labeled ...
Wang, William Yang
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Multimodal Fake News Detection
Information, 2022 Over the last few years, there has been an unprecedented proliferation of fake news. As a consequence, we are more susceptible to the pernicious impact that misinformation and disinformation spreading can have on different segments of our society. Thus, the development of tools for the automatic detection of fake news plays an important role in the ...
Isabel Segura-Bedmar +1 more
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Hierarchical Propagation Networks for Fake News Detection: Investigation and Exploitation
, 2019 Consuming news from social media is becoming increasingly popular. However, social media also enables the widespread of fake news. Because of its detrimental effects brought by social media, fake news detection has attracted increasing attention. However,
Liu, Huan +3 more
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Automatically Identifying Fake News in Popular Twitter Threads
, 2017 Information quality in social media is an increasingly important issue, but web-scale data hinders experts' ability to assess and correct much of the inaccurate content, or `fake news,' present in these platforms.
Buntain, Cody, Golbeck, Jennifer
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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 - bidirectional Long Short-Term Memory, to identify Vietnamese fake news.
Duc Vinh Vo, Phuc Do
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Hoaxy: A Platform for Tracking Online Misinformation
, 2016 Massive amounts of misinformation have been observed to spread in uncontrolled fashion across social media. Examples include rumors, hoaxes, fake news, and conspiracy theories.
Ciampaglia, Giovanni Luca +3 more
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Fake News Detection in Social Networks via Crowd Signals
, 2018 Our work considers leveraging crowd signals for detecting fake news and is motivated by tools recently introduced by Facebook that enable users to flag fake news.
Krause, Andreas +4 more
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