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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 …
[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, develo** an effective way to detect such news is challenging, especially when …
However, develo** an effective way to detect such news is challenging, especially when …
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) …
A comprehensive survey of multimodal fake news detection techniques: advances, challenges, and opportunities
The escalating prevalence of disinformation, or “fake news,” on social media platforms
represents a growing societal concern with far-reaching implications. Its ubiquitous …
represents a growing societal concern with far-reaching implications. Its ubiquitous …
A comprehensive survey on machine learning approaches for fake news detection
The proliferation of fake news on social media platforms poses significant challenges to
society and individuals, leading to negative impacts. As the tactics employed by purveyors of …
society and individuals, leading to negative impacts. As the tactics employed by purveyors of …
[HTML][HTML] 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 …
Evidence-driven retrieval augmented response generation for online misinformation
The proliferation of online misinformation has posed significant threats to public interest.
While numerous online users actively participate in the combat against misinformation …
While numerous online users actively participate in the combat against misinformation …
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 …
[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 …