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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 …
Artificial intelligence-based hybrid deep learning models for image classification: The first narrative review
Background Artificial intelligence (AI) has served humanity in many applications since its
inception. Currently, it dominates the imaging field—in particular, image classification. The …
inception. Currently, it dominates the imaging field—in particular, image classification. The …
[HTML][HTML] A comprehensive survey of fake news in social networks: Attributes, features, and detection approaches
The explosion of online social networks in recent decades has significantly improved in
which the way individuals communicate with one another. People trust social networks …
which the way individuals communicate with one another. People trust social networks …
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 …
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 …
Emotion recognition by textual tweets classification using voting classifier (LR-SGD)
The proliferation of user-generated content on social media has made opinion mining an
arduous job. As a microblogging platform, Twitter is being used to collect views about …
arduous job. As a microblogging platform, Twitter is being used to collect views about …
[HTML][HTML] Knowledge graph informed fake news classification via heterogeneous representation ensembles
Increasing amounts of freely available data both in textual and relational form offers
exploration of richer document representations, potentially improving the model …
exploration of richer document representations, potentially improving the model …
RFCNN: Traffic accident severity prediction based on decision level fusion of machine and deep learning model
Traffic accidents on highways are a leading cause of death despite the development of traffic
safety measures. The burden of casualties and damage caused by road accidents is very …
safety measures. The burden of casualties and damage caused by road accidents is very …
Are you a cyborg, bot or human?—a survey on detecting fake news spreaders
One of the major components of Societal Digitalization is Online social networks (OSNs).
OSNs can expose people to different popular trends in various aspects of life and alter …
OSNs can expose people to different popular trends in various aspects of life and alter …
Context-aware misinformation detection: A benchmark of deep learning architectures using word embeddings
New mass media paradigms for information distribution have emerged with the digital age.
With new digital-enabled mass media, the communication process is centered around the …
With new digital-enabled mass media, the communication process is centered around the …