For the purpose of this paper, we will go by the definition of fake news as those reports that are bogus: The story itself is created, with no relation to realities, sources or statements. In this research on fake news detection through machine learning algorithms, we are implementing two ...
#research-paper-on-fake-news10stories #machine-learning COVIDFakeExplainer: An Explainable Machine Learning based Web Application: Abstract & Intro EScholar: Electronic Academic Papers for Scholars Feb 15, 2024 4m #machine-learning COVIDFakeExplainer: An Explainable Machine Learning based Web Applicatio...
The increased scholarly focus has been directed to fake news detection given their widespread impact on supply chain disruptions, as was the case with the COVID-19 vaccine. Fake news and misinformation are highly disruptive, which create uncertainty and disruptions not only in society but also in ...
Fake News Detection: It's All in the Data!Welcome to the Fake News Research Datasets repository. This repository is part of our paper contribution, where we re-upload publicly available datasets, summarize their contents, and compare them. This initiative aims to provide researchers with a centra...
FakeNewsNet We released a toolFakeNewsTracker, for collecting, analyzing, and visualizing of fake news and the related dissemination on social media. Check it out! The latest dataset paper with detailed analysis on the dataset can be found atFakeNewsNet ...
Tran recently presented his research ata conference hosted by SPIE, an international non-profit dedicated to advancing light-based research and technologies. One paper focused on the machine learning-based framework, which is a branch of artificial intelligence (AI) and computer science that uses data...
Figure 4. Review paper flow. Table 1. Comparison with the existing reviews on Fake News Detection. 2. Research Methodology The literature review aimed to collect, identify, and report relevant research studies on FND in a structured and transparent manner, as explained in Figure 5. We referr...
FakeNewsNet We released a toolFakeNewsTracker, for collecting, analyzing, and visualizing of fake news and the related dissemination on social media. Check it out! The latest dataset paper with detailed analysis on the dataset can be found atFakeNewsNet ...
The rest of the paper is structured as follows: First, we describe the methodological processes leveraged to carry out this review. In section three, we discuss the profile of the existing literature on fake news in the hospitality industry. We then discuss the thematic classifications in section...
If you would like your published paper/data to be added here, please message me. Table of content: a) Data Repository/Papers 2020, Wang, Yaqing, Weifeng Yang, Fenglong Ma, Jin Xu, Bin Zhong, Qiang Deng, and Jing Gao. "Weak supervision for fake news detection via reinforcement learning....