Deep learning for fake news detection

Deep learning for fake news detection: A comprehensive survey

In this survey, we present a complete review and analysis of existing DL based FND methods that focus on various features such as news content, social context, ...

Deep Learning for Fake News Detection: Theories and Models

This paper reviews and compare different research on fake news detection and presents their strategies adopted and performances achieved.

Fake News Detection: A Deep Learning Approach - SMU Scholar

In this paper we present the solution to the task of fake news detection by using Deep Learning architectures. Gartner research [1] predicts that “By 2022, most ...

Deep learning methods for Fake News detection - IEEE Xplore

The study presented in this paper deals with the detection of fake news from the textual data using deep learning techniques. Our main idea was to train ...

Detection of fake news using deep learning CNN–RNN based ...

Three different deep learning methods were tested, namely CNN, Bidirectional LSTM, and ResNet, to determine which method has the best performance in detecting ...

Fake News Detection Using Deep Learning - AWS

This paper proposes a deep learning architecture for detecting fake news that is written in Korean. Previous works proposed appropriate fake news detection ...

[2306.12014] 3HAN: A Deep Neural Network for Fake News Detection

We employ a deep learning based automated detector through a three level hierarchical attention network (3HAN) for fast, accurate detection of fake news.

Federated Learning in the Detection of Fake News Using Deep ...

This article explores the possibilities for federated learning with a deep learning method as a basic approach to train detection models for fake news ...

Fake News Detection Using Deep Learning Techniques - IEEE Xplore

Here we proposed fake news detection system based on classification such as Logistic regression (LR), Naïve bayes (NB), Support vector machine (SVM), Random ...

Fake News Detection: A Deep Learning Approach - SMU Scholar

Fake news is defined as a made-up story with an intention to deceive or to mislead. In this paper we present the solution to the task of fake news detection ...

Fake News Detection Using Deep Learning Techniques

This work proposed fake news detection system based on classification such as Logistic regression (LR), Naïve bayes (NB), Support vector machine (SVM), ...

AIRLegend/fakenews: Fake news detection using Deep Learning

This repository is focused on finding fake news using deep learning. There are multiple methods focused on achieving this goal.

(PDF) Fake News Detection Using Deep Learning - ResearchGate

Originality/value-This study proposes a novel framework that exploits news content and social contexts to learn useful representations for predicting fake news.

A Comparative Study of Machine Learning and Deep ... - MDPI

Efforts have been dedicated by researchers in the field of natural language processing (NLP) to detecting and combating fake news using an assortment of ...

Fake News Classification Using Deep Learning - Analytics Vidhya

BERT had trained using two ways. The first method is known to be veiled language modelling. Before transmitting sequences, a [MASK] token had ...

Fake News Detection Using Machine Learning | Simplilearn

Artificial Intelligence Engineer (IBM) ...

Fake News Detection | Papers With Code

Fake News Detection on Social Media using Geometric Deep Learning ... One of the main reasons is that often the interpretation of the news requires the knowledge ...

Detecting Fake News using Machine Learning - arXiv

Machine learning algorithms will detect the fake news automatically once they have trained. This literature review will answer the different research questions.

Fake News Detection Using Machine Learning Approaches

Fake News Detection Using Machine Learning Approaches, Z Khanam, B N Alwasel, H Sirafi, M Rashid.

Deep Learning for Fake News Detection: Theories and Models

There- fore, detecting fake news has gained interests from researchers in different industries. As deep learning improves in recent years, some researchers ...