Fake news, disinformation and misinformation in social media: a review
Online social networks (OSNs) are rapidly growing and have become a huge source of all
kinds of global and local news for millions of users. However, OSNs are a double-edged …
kinds of global and local news for millions of users. However, OSNs are a double-edged …
A review of fake news detection approaches: A critical analysis of relevant studies and highlighting key challenges associated with the dataset, feature representation …
Currently, social networks have become the main source to acquire news about current
global affairs. However, fake news appears and spreads on social media daily. This …
global affairs. However, fake news appears and spreads on social media daily. This …
Dual emotion based fake news detection: A deep attention-weight update approach
The proliferation of false information is a growing problem in today's dynamic online
environment. This phenomenon requires automated detection of fake news to reduce its …
environment. This phenomenon requires automated detection of fake news to reduce its …
Nbias: A natural language processing framework for BIAS identification in text
Bias in textual data can lead to skewed interpretations and outcomes when the data is used.
These biases could perpetuate stereotypes, discrimination, or other forms of unfair …
These biases could perpetuate stereotypes, discrimination, or other forms of unfair …
QMFND: A quantum multimodal fusion-based fake news detection model for social media
Z Qu, Y Meng, G Muhammad, P Tiwari - Information Fusion, 2024 - Elsevier
Fake news is frequently disseminated through social media, which significantly impacts
public perception and individual decision-making. Accurate identification of fake news on …
public perception and individual decision-making. Accurate identification of fake news on …
Deep learning for hate speech detection: a comparative study
Automated hate speech detection is an important tool in combating the spread of hate
speech, particularly in social media. Numerous methods have been developed for the task …
speech, particularly in social media. Numerous methods have been developed for the task …
Linguistic features based framework for automatic fake news detection
S Garg, DK Sharma - Computers & Industrial Engineering, 2022 - Elsevier
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 …
Fake news detection model on social media by leveraging sentiment analysis of news content and emotion analysis of users' comments
Nowadays, social media has become the main source of news around the world. The
spread of fake news on social networks has become a serious global issue, damaging many …
spread of fake news on social networks has become a serious global issue, damaging many …
Dbias: detecting biases and ensuring fairness in news articles
Because of the increasing use of data-centric systems and algorithms in machine learning,
the topic of fairness is receiving a lot of attention in the academic and broader literature. This …
the topic of fairness is receiving a lot of attention in the academic and broader literature. This …
Fake news detection techniques on social media: A survey
Social media platforms like Twitter have become common tools for disseminating and
consuming news because of the ease with which users can get access to and consume it …
consuming news because of the ease with which users can get access to and consume it …