Operating machine learning across natural language processing techniques for improvement of fabricated news model
K Sharifani, M Amini, Y Akbari… - … Journal of Science …, 2022 - papers.ssrn.com
Fake news or fabricated news, refers to false information published under the guise of being
authentic news, often to influence political views. Fabricated news articles are a threat to …
authentic news, often to influence political views. Fabricated news articles are a threat to …
Fake news detection: A survey of graph neural network methods
The emergence of various social networks has generated vast volumes of data. Efficient
methods for capturing, distinguishing, and filtering real and fake news are becoming …
methods for capturing, distinguishing, and filtering real and fake news are becoming …
A comparative study of machine learning and deep learning techniques for fake news detection
Efforts have been dedicated by researchers in the field of natural language processing
(NLP) to detecting and combating fake news using an assortment of machine learning (ML) …
(NLP) to detecting and combating fake news using an assortment of machine learning (ML) …
Deep ensemble fake news detection model using sequential deep learning technique
Recently, fake news has been widely spread through the Internet due to the increased use
of social media for communication. Fake news has become a significant concern due to its …
of social media for communication. Fake news has become a significant concern due to its …
MetaAdapt: Domain adaptive few-shot misinformation detection via meta learning
With emerging topics (eg, COVID-19) on social media as a source for the spreading
misinformation, overcoming the distributional shifts between the original training domain (ie …
misinformation, overcoming the distributional shifts between the original training domain (ie …
Networked knowledge and complex networks: An engineering view
Along with the development of information technologies such as mobile Internet, information
acquisition technology, cloud computing and big data technology, the traditional knowledge …
acquisition technology, cloud computing and big data technology, the traditional knowledge …
[HTML][HTML] Towards COVID-19 fake news detection using transformer-based models
The COVID-19 pandemic has resulted in a surge of fake news, creating public health risks.
However, developing an effective way to detect such news is challenging, especially when …
However, developing an effective way to detect such news is challenging, especially when …
EFND: A semantic, visual, and socially augmented deep framework for extreme fake news detection
Due to the exponential increase in internet and social media users, fake news travels
rapidly, and no one is immune to its adverse effects. Various machine learning approaches …
rapidly, and no one is immune to its adverse effects. Various machine learning approaches …
[HTML][HTML] SSM: Stylometric and semantic similarity oriented multimodal fake news detection
Over the years, there has been a rise in the number of fabricated and fake news stories that
utilize both textual and visual information formats. This coincides with the increased …
utilize both textual and visual information formats. This coincides with the increased …
[HTML][HTML] Knowledge graph and deep learning combined with a stock price prediction network focusing on related stocks and mutation points
M Tao, S Gao, D Mao, H Huang - Journal of King Saud University-Computer …, 2022 - Elsevier
Due to the interaction of many factors in the stock market, stock price prediction has always
been a challenging problem in the field of machine learning. In particular, the mutation …
been a challenging problem in the field of machine learning. In particular, the mutation …