Results 21 to 30 of about 5,447,969 (268)
FNMD: An Evaluation of Machine Learning and Deep Learning Techniques for Fake News Detection
Fake news proliferation on social media platforms has become alarming because it poses threats to various aspects of society. Fake news encompasses intentionally falsified information designed to mislead readers and manipulate public perception ...
Hosseini, SM., Abdi, A., Daneshvar, B.
core +1 more source
Multilingual Fake News Detection with Satire
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
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
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
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]
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
A CONCEPTUAL MODEL TO PROTECT BRAND REPUTATION FACING ” FAKE NEWS” [PDF]
openThis study aims to explore the nature and impact of Fake News on brands and their customers, identify different categories of Fake News, and propose a conceptual model for companies to protect their brand reputation and mitigate the effects of Fake ...
TARAGHI, NIMA
core
Automatic Detection of Fake News
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
Infografies de l'exposició vitual Fake news, fake science
Infografies elaborades pel CRAI Biblioteca d'Informació i Mitjans Audiovisuals.Infografies en català i castellà per a l'exposició virtual realitzada pel CRAI Biblioteca d'Informació i Mitjans Audiovisuals "Fake News, Fake Science", al març de 2020 ...
Universitat de Barcelona. CRAI Biblioteca d'Informació i Mitjans Audiovisuals +1 more
core +6 more sources
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

