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Deep learning for fake news detection


Ensemble based high performance deep learning models for fake ...

... learning, deep learning, and ensemble learning frameworks in Arabic fake news detection. We integrated FastText word embeddings with various ...

Fake News Detection Project - GitHub

The project aims to develop a machine-learning model capable of identifying and classifying any news article as fake or not.

Fake News Detection using Hybrid Deep Learning Method - TechRxiv

As there is no single large, standard dataset available for fake news detection, this study derives a large dataset by integrating 2 publicly available ...

A Deep Learning Approach for Automatic Detection of Fake News

In this paper, we propose two effective models based on deep learning for solving fake news detection problem in online news contents of multiple domains. We ...

Deep Learning for Fake News Detection: Literature Review

PDF | The use of Deep Learning (DL) for identifying false or misleading information, known as fake news, is a growing area of research.

A cooperative deep learning model for fake news detection in ... - NCBI

This paper presents a cooperative deep learning-based fake news detection model.The suggested technique uses user feedbacks to estimate news trust levels.

Fake News Detection using Machine Learning - GeeksforGeeks

A lot of research is already going on focused on the classification of fake news. Here we will try to solve this issue with the help of machine learning in ...

Fake News Detection Using Hybrid Deep Learning Method

This paper evaluates several machine learning and deep learning approaches to automatically identify fake news from headlines and news descriptions.

Automatic Fake News Detection based on Deep Learning, FastText ...

The present paper focuses on the assessment of the first news article feature that is hypothesized as affecting the performances of fake news predicting: News ...

A Deep Learning Multimodal Framework for Fake News Detection

It introduces a comprehensive framework for detecting fake news, leveraging advanced multimodal techniques to analyze multilingual text and visual data.

Fake News Detection Project Using Machine Learning - ProjectPro

This blog will explore a fake news detection project using machine learning and discuss how machine learning algorithms can efficiently detect and distinguish ...

How to Create a Fake News Detection System? - Simplilearn.com

Fake News Detection System uses machine learning to process massive volume of data, which is one of the numerous challenges in today's ...

FAKE NEWS DETECTION ON SOCIAL MEDIA USING GEOMETRIC ...

novel automatic fake news detection model based on geometric deep learning. The underlying core algorithms are a generalization of classical convolutional ...

Fake Detect: A Deep Learning Ensemble Model for Fake News ...

In this study, we proposed an ensemble-based deep learning model to classify news as fake or real using LIAR dataset.

Fake News Detection with Machine Learning - Coursera

Complete this Guided Project in under 2 hours. In this hands-on project, we will train a Bidirectional Neural Network and LSTM based deep learning model to ...

Fake News Detection Using Deep Learning: Supervised ... - IGI Global

Fake News Detection Using Deep Learning: Supervised Fake News Detection Analysis in Social Media With Semantic Similarity Method: ...

Deep Learning for Fake News Detection: Literature Review

Abstract. The use of Deep Learning (DL) for identifying false or misleading information, known as fake news, is a growing area of research. Deep ...

Fake News Detection using Machine Learning Algorithms and ...

The core purpose of this research is to analyse, compare and evaluate the performance of multiple machine learning and deep learning algorithms for detecting ...

[PDF] Fake news detection using Deep Learning - Semantic Scholar

In this work the feasibility of applying deep learning techniques to discriminate fake news on the Internet using only their text is studied and three ...

COVID-19 Fake News Detection using Deep Learning Model

In this paper, we present an effective Convolutional Neural Network (CNN)-based deep learning model using word embedding.