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 …
Online social networks security and privacy: comprehensive review and analysis
With fast-growing technology, online social networks (OSNs) have exploded in popularity
over the past few years. The pivotal reason behind this phenomenon happens to be the …
over the past few years. The pivotal reason behind this phenomenon happens to be the …
[Retracted] Real‐Time Twitter Spam Detection and Sentiment Analysis using Machine Learning and Deep Learning Techniques
AP Rodrigues, R Fernandes, A Shetty… - Computational …, 2022 - Wiley Online Library
In this modern world, we are accustomed to a constant stream of data. Major social media
sites like Twitter, Facebook, or Quora face a huge dilemma as a lot of these sites fall victim to …
sites like Twitter, Facebook, or Quora face a huge dilemma as a lot of these sites fall victim to …
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 …
[HTML][HTML] Multi-class sentiment classification on Bengali social media comments using machine learning
Abstract Multi-class Sentiment Analysis (SA) is an important field of computational linguistics
that extracts multiple opinions expressed in a text using NLP and text-mining techniques …
that extracts multiple opinions expressed in a text using NLP and text-mining techniques …
An ensemble model for classifying idioms and literal texts using BERT and RoBERTa
J Briskilal, CN Subalalitha - Information Processing & Management, 2022 - Elsevier
An idiom is a common phrase that means something other than its literal meaning. Detecting
idioms automatically is a serious challenge in natural language processing (NLP) domain …
idioms automatically is a serious challenge in natural language processing (NLP) domain …
ElStream: An ensemble learning approach for concept drift detection in dynamic social big data stream learning
With the rapid increase in communication technologies and smart devices, an enormous
surge in data traffic has been observed. A huge amount of data gets generated every …
surge in data traffic has been observed. A huge amount of data gets generated every …
Fake detect: A deep learning ensemble model for fake news detection
N Aslam, I Ullah Khan, FS Alotaibi, LA Aldaej… - …, 2021 - Wiley Online Library
Pervasive usage and the development of social media networks have provided the platform
for the fake news to spread fast among people. Fake news often misleads people and …
for the fake news to spread fast among people. Fake news often misleads people and …
Social media content classification and community detection using deep learning and graph analytics
Social cybermedia has greatly changed the world's perspective on information sharing and
propagation. These platforms build virtual user communities in the form of followings or …
propagation. These platforms build virtual user communities in the form of followings or …
A CNN-LSTM-based hybrid deep learning approach for sentiment analysis on Monkeypox tweets
The research on sentiment analysis has shown a great deal of utility in the field of public
health, specifically in the investigation of infectious illnesses. As the world begins to …
health, specifically in the investigation of infectious illnesses. As the world begins to …