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 comprehensive survey on tinyml
Recent spectacular progress in computational technologies has led to an unprecedented
boom in the field of Artificial Intelligence (AI). AI is now used in a plethora of research areas …
boom in the field of Artificial Intelligence (AI). AI is now used in a plethora of research areas …
Human monkeypox classification from skin lesion images with deep pre-trained network using mobile application
Recently, human monkeypox outbreaks have been reported in many countries. According to
the reports and studies, quick determination and isolation of infected people are essential to …
the reports and studies, quick determination and isolation of infected people are essential to …
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 …
A comprehensive review on fake news detection with deep learning
A protuberant issue of the present time is that, organizations from different domains are
struggling to obtain effective solutions for detecting online-based fake news. It is quite …
struggling to obtain effective solutions for detecting online-based fake news. It is quite …
A novel stacking approach for accurate detection of fake news
With the increasing popularity of social media, people has changed the way they access
news. News online has become the major source of information for people. However, much …
news. News online has become the major source of information for people. However, much …
Cross-SEAN: A cross-stitch semi-supervised neural attention model for COVID-19 fake news detection
As the COVID-19 pandemic sweeps across the world, it has been accompanied by a
tsunami of fake news and misinformation on social media. At the time when reliable …
tsunami of fake news and misinformation on social media. At the time when reliable …
An incentive-aware blockchain-based solution for internet of fake media things
Abstract The concept of Fake Media or Internet of Fake Media Things (IoFMT) has emerged
in different domains of digital society such as politics, news, and social media. Due to the …
in different domains of digital society such as politics, news, and social media. Due to the …
Combat COVID-19 infodemic using explainable natural language processing models
Misinformation of COVID-19 is prevalent on social media as the pandemic unfolds, and the
associated risks are extremely high. Thus, it is critical to detect and combat such …
associated risks are extremely high. Thus, it is critical to detect and combat such …
CB-Fake: A multimodal deep learning framework for automatic fake news detection using capsule neural network and BERT
The progressive growth of today's digital world has made news spread exponentially faster
on social media platforms like Twitter, Facebook, and Weibo. Unverified news is often …
on social media platforms like Twitter, Facebook, and Weibo. Unverified news is often …