Results 21 to 30 of about 3,995 (137)

Fake News Detection

open access: yesInternational Journal of Advanced Research in Science, Communication and Technology, 2021
Everyday people receive a lot of information through social media and online news portals. To distinguish whether the information is fake or true is a big problem. An algorithm has been developed to distinguish fake news and true news by searching the relevant news from reliable news website based on the news given.
Si Hong Long, Mohd Pouzi Bin Hamzah
openaire   +2 more sources

Multilingual Fake News Detection with Satire

open access: yes, 2023
The information spread through the Web influences politics, stock markets, public health, people's reputation and brands. For these reasons, it is crucial to filter out false information. In this paper, we compare different automatic approaches for fake news detection based on statistical text analysis on the vaccination fake news dataset provided by ...
Guibon, Gaël   +4 more
openaire   +2 more sources

Construction of multi-modal social media dataset for fake news detection

open access: yes网络与信息安全学报, 2023
The advent of social media has brought about significant changes in people’s lives.While social media allows for easy access and sharing of news, it has also become a breeding ground for the dissemination of fake news, posing a serious threat to social ...
Guopeng GAO   +4 more
doaj   +3 more sources

Optimization and improvement of fake news detection using deep learning approaches for societal benefit

open access: yesInternational Journal of Information Management Data Insights, 2021
Fake news is a topic that has been discussed for quite some time. Prior to the internet era, it was mostly distributed through yellow journalism, with a focus on sensational news such as crime, rumours, accidents, and amusing news.
Tavishee Chauhan, M.E   +1 more
doaj   +1 more source

Analyzing Online Fake News Using Latent Semantic Analysis: Case of USA Election Campaign

open access: yesBig Data and Cognitive Computing, 2023
Recent studies have indicated that fake news is always produced to manipulate readers and that it spreads very fast and brings great damage to human society through social media.
Richard G. Mayopu   +2 more
doaj   +1 more source

Fake News Detection using LSTM based deep learning approach [PDF]

open access: yesITM Web of Conferences, 2023
The identification of false information has become a critical concern in the modern era of technology, as the ready availability of information and widespread utilization of social media platforms have accelerated the dissemination of inaccurate news ...
Jaybhaye Sangita M.   +4 more
doaj   +1 more source

Combating Fake News in “Low-Resource” Languages: Amharic Fake News Detection Accompanied by Resource Crafting

open access: yesInformation, 2021
The need to fight the progressive negative impact of fake news is escalating, which is evident in the strive to do research and develop tools that could do this job.
Fantahun Gereme   +3 more
doaj   +1 more source

Automatic Detection of Fake News

open access: yesCoRR, 2017
The proliferation of misleading information in everyday access media outlets such as social media feeds, news blogs, and online newspapers have made it challenging to identify trustworthy news sources, thus increasing the need for computational tools able to provide insights into the reliability of online content.
Verónica Pérez-Rosas   +3 more
openaire   +3 more sources

Exposure of fake news to the Indian social media users

open access: yesRUDN Journal of Studies in Literature and Journalism, 2023
In the modern world, people are too techno-friendly and dependent on technology using the Internet for every work. The same goes for the news. People are shifting from traditional mass media to digital news platforms and getting news through websites ...
Bandana Pandey   +4 more
doaj   +1 more source

Fake Detect: A Deep Learning Ensemble Model for Fake News Detection [PDF]

open access: yesComplexity, 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
openaire   +2 more sources

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