Operating machine learning across natural language processing techniques for improvement of fabricated news model
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 …
A sco** review of the relationship of big data analytics with context-based fake news detection on digital media in data age
The objectives of the study were to identify the relationship between big data analytics with
context-based news detection on digital media in the data age, to find out the trending …
context-based news detection on digital media in the data age, to find out the trending …
Linguistic features based framework for automatic fake news detection
Social media platforms now a day are mainly used for news consumption among users.
Political groups use social media platforms to attract users by enclosing users' votes in their …
Political groups use social media platforms to attract users by enclosing users' votes in their …
An image and text-based multimodal model for detecting fake news in OSN's
Abstract Digital Mass Media has become the new paradigm of communication that revolves
around online social networks. The increase in the utilization of online social networks …
around online social networks. The increase in the utilization of online social networks …
Multilingual deep learning framework for fake news detection using capsule neural network
Fake news detection is an essential task; however, the complexity of several languages
makes fake news detection challenging. It requires drawing many conclusions about the …
makes fake news detection challenging. It requires drawing many conclusions about the …
Deep Dive into Fake News Detection: Feature-Centric Classification with Ensemble and Deep Learning Methods
The online spread of fake news on various platforms has emerged as a significant concern,
posing threats to public opinion, political stability, and the dissemination of reliable …
posing threats to public opinion, political stability, and the dissemination of reliable …
Constructing a User-Centered Fake News Detection Model by Using Classification Algorithms in Machine Learning Techniques (Jan 2023)
As fake news spreads rapidly in social media, attempts to develop detection technology to
automatically identify fake news are actively being developed, recently. However, most of …
automatically identify fake news are actively being developed, recently. However, most of …
Towards a soft three-level voting model (Soft T-LVM) for fake news detection
Fake news has a worldwide impact and the potential to change political scenarios and
human behavior, especially in a critical time like the COVID-19 pandemic. This work …
human behavior, especially in a critical time like the COVID-19 pandemic. This work …
Evaluating text classification: A benchmark study
This paper presents an impartial and extensive benchmark for text classification involving
five different text classification tasks, 20 datasets, 11 different model architectures, and …
five different text classification tasks, 20 datasets, 11 different model architectures, and …
A systematic literature review and meta-analysis of studies on online fake news detection
The ubiquitous access and exponential growth of information available on social media
networks have facilitated the spread of fake news, complicating the task of distinguishing …
networks have facilitated the spread of fake news, complicating the task of distinguishing …