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 …
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 …
Is neuro-symbolic ai meeting its promises in natural language processing? a structured review
Abstract Advocates for Neuro-Symbolic Artificial Intelligence (NeSy) assert that combining
deep learning with symbolic reasoning will lead to stronger AI than either paradigm on its …
deep learning with symbolic reasoning will lead to stronger AI than either paradigm on its …
Semantic knowledge graphs for the news: A review
ICT platforms for news production, distribution, and consumption must exploit the ever-
growing availability of digital data. These data originate from different sources and in …
growing availability of digital data. These data originate from different sources and in …
Fake news detection: Taxonomy and comparative study
The proliferation of social networks has presented a significant challenge in combating the
pervasive issue of fake news within modern societies. Due to the large amount of …
pervasive issue of fake news within modern societies. Due to the large amount of …
Integrating machine learning techniques in semantic fake news detection
AMP Braşoveanu, R Andonie - Neural Processing Letters, 2021 - Springer
The nuances of languages, as well as the varying degrees of truth observed in news items,
make fake news detection a difficult problem to solve. A news item is never launched without …
make fake news detection a difficult problem to solve. A news item is never launched without …
Multilingual deep learning framework for fake news detection using capsule neural network
Fake news detection is an essential task; however, the complexity of several languages
makes fake news detection challenging. It requires drawing many conclusions about the …
makes fake news detection challenging. It requires drawing many conclusions about the …
The Landscape of User-centered Misinformation Interventions-A Systematic Literature Review
Misinformation is one of the key challenges facing society today. User-centered
misinformation interventions as digital countermeasures that exert a direct influence on …
misinformation interventions as digital countermeasures that exert a direct influence on …
Review analysis of ride-sharing applications using machine learning approaches: Bangladesh perspective
Technology and ride-sharing services have become more accessible and convenient as a
result of the growth of the Internet. Passengers increasingly focus on digital reviews to help …
result of the growth of the Internet. Passengers increasingly focus on digital reviews to help …
Using artificial intelligence against the phenomenon of fake news: a systematic literature review
MA Al-Asadi, S Tasdemir - Combating fake news with computational …, 2022 - Springer
Social networks like Facebook and Twitter have become an important way for people to
connect and share their thoughts. The most important feature of social networks is the rapid …
connect and share their thoughts. The most important feature of social networks is the rapid …