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Content-based fake news detection with machine and deep learning: A systematic review
Fake news, which can be defined as intentionally and verifiably false news, has a strong
influence on critical aspects of our society. Manual fact-checking is a widely adopted …
influence on critical aspects of our society. Manual fact-checking is a widely adopted …
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 …
The fingerprints of misinformation: how deceptive content differs from reliable sources in terms of cognitive effort and appeal to emotions
Not all misinformation is created equal. It can adopt many different forms like conspiracy
theories, fake news, junk science, or rumors among others. However, most of the existing …
theories, fake news, junk science, or rumors among others. However, most of the existing …
A hybrid linguistic and knowledge-based analysis approach for fake news detection on social media
The rapid development of different social media and content-sharing platforms has been
largely exploited to spread misinformation and fake news that make people believing in …
largely exploited to spread misinformation and fake news that make people believing in …
DSS: A hybrid deep model for fake news detection using propagation tree and stance network
Nowadays, online social media play a significant role in news broadcasts due to their
convenience, speed, and accessibility. Social media platforms leverage the rapid production …
convenience, speed, and accessibility. Social media platforms leverage the rapid production …
Evaluating the effectiveness of publishers' features in fake news detection on social media
With the expansion of the Internet and attractive social media infrastructures, people prefer
to follow the news through these media. Despite the many advantages of these media in the …
to follow the news through these media. Despite the many advantages of these media in the …
COVID-19 fake news detection: A hybrid CNN-BiLSTM-AM model
With the rapid development of technology, social media as a communication platform has
caused a significant increase in the dissemination of false information and fake news. We …
caused a significant increase in the dissemination of false information and fake news. We …
Factors influencing fake news rebuttal acceptance during the COVID-19 pandemic and the moderating effect of cognitive ability
X Wang, F Chao, G Yu, K Zhang - Computers in human behavior, 2022 - Elsevier
Fake news is spreading rapidly on social media and poses a serious threat to the COVID-19
outbreak response. This study thus aims to reveal the factors influencing the acceptance of …
outbreak response. This study thus aims to reveal the factors influencing the acceptance of …
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 …
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 …