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 …
Advanced Machine Learning techniques for fake news (online disinformation) detection: A systematic map** study
Fake news has now grown into a big problem for societies and also a major challenge for
people fighting disinformation. This phenomenon plagues democratic elections, reputations …
people fighting disinformation. This phenomenon plagues democratic elections, reputations …
Detecting and mitigating the dissemination of fake news: Challenges and future research opportunities
Fake news is a major threat to democracy (eg, influencing public opinion), and its impact
cannot be understated particularly in our current socially and digitally connected society …
cannot be understated particularly in our current socially and digitally connected society …
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 …
Users' ability to perceive misinformation: An information quality assessment approach
Digital information exchange enables quick creation and sharing of information and thus
changes existing habits. Social media is becoming the main source of news for end-users …
changes existing habits. Social media is becoming the main source of news for end-users …
Fake news in virtual community, virtual society, and metaverse: A survey
In the trend of the accelerated progression of communication network technology, the
emergence of virtual communities (VCs), virtual societies (VSs), metaverse, and other …
emergence of virtual communities (VCs), virtual societies (VSs), metaverse, and other …
SaTYa: trusted Bi-LSTM-Based fake news classification scheme for smart community
This article proposes a SaTya scheme that leverages a blockchain (BC)-based deep
learning (DL)-assisted classifier model that forms a trusted chronology in fake news …
learning (DL)-assisted classifier model that forms a trusted chronology in fake news …
Fake news detection in social media based on sentiment analysis using classifier techniques
Fake news on social media, has spread for personal or societal gain. Detecting fake news is
a multi-step procedure that entails analysing the content of the news to assess its …
a multi-step procedure that entails analysing the content of the news to assess its …
Does fake news in different languages tell the same story? An analysis of multi-level thematic and emotional characteristics of news about COVID-19
Fake news is being generated in different languages, yet existing studies are dominated by
English news. The analysis of fake news content has focused on lexical and stylometric …
English news. The analysis of fake news content has focused on lexical and stylometric …
Reputation-aware hedonic coalition formation for efficient serverless hierarchical federated learning
Amid growing concerns on data privacy, Federated Learning (FL) has emerged as a
promising privacy preserving distributed machine learning paradigm. Given that the FL …
promising privacy preserving distributed machine learning paradigm. Given that the FL …