[HTML][HTML] Deep learning for misinformation detection on online social networks: a survey and new perspectives
Recently, the use of social networks such as Facebook, Twitter, and Sina Weibo has
become an inseparable part of our daily lives. It is considered as a convenient platform for …
become an inseparable part of our daily lives. It is considered as a convenient platform for …
[HTML][HTML] 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 …
[PDF][PDF] A Convolutional Approach for Misinformation Identification.
The fast expanding of social media fuels the spreading of misinformation which disrupts
people's normal lives. It is urgent to achieve goals of misinformation identification and early …
people's normal lives. It is urgent to achieve goals of misinformation identification and early …
The future of misinformation detection: new perspectives and trends
The massive spread of misinformation in social networks has become a global risk, implicitly
influencing public opinion and threatening social/political development. Misinformation …
influencing public opinion and threatening social/political development. Misinformation …
[HTML][HTML] A review of fake news detection approaches: A critical analysis of relevant studies and highlighting key challenges associated with the dataset, feature …
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 …
[PDF][PDF] Fake news detection with deep diffusive network model
In recent years, due to the booming development of online social networks, fake news for
various commercial and political purposes has been appearing in large numbers and …
various commercial and political purposes has been appearing in large numbers and …
Multiple features based approach for automatic fake news detection on social networks using deep learning
SR Sahoo, BB Gupta - Applied Soft Computing, 2021 - Elsevier
In recent years, the rise of Online Social Networks has led to proliferation of social news
such as product advertisement, political news, celebrity's information, etc. Some of the social …
such as product advertisement, political news, celebrity's information, etc. Some of the social …
Misinformation in social media: definition, manipulation, and detection
The widespread dissemination of misinformation in social media has recently received a lot
of attention in academia. While the problem of misinformation in social media has been …
of attention in academia. While the problem of misinformation in social media has been …
[HTML][HTML] A novel self-learning semi-supervised deep learning network to detect fake news on social media
Social media has become a popular means for people to consume and share news.
However, it also enables the extensive spread of fake news, that is, news that deliberately …
However, it also enables the extensive spread of fake news, that is, news that deliberately …
[PDF][PDF] An empirical comparison of fake news detection using different machine learning algorithms
Relying on social networks to follow the news has its pros and cons. Social media websites
indeed allow the spread of information among people quickly. However, such websites …
indeed allow the spread of information among people quickly. However, such websites …