Social network analysis using deep learning: applications and schemes
AM Abbas - Social Network Analysis and Mining, 2021 - Springer
Online social networks (OSNs) are part of daily life of human beings. Millions of users are
connected through online social networks. Due to very large number of users and huge …
connected through online social networks. Due to very large number of users and huge …
Different absorption from the same sharing: Sifted multi-task learning for fake news detection
Recently, neural networks based on multi-task learning have achieved promising
performance on fake news detection, which focus on learning shared features among tasks …
performance on fake news detection, which focus on learning shared features among tasks …
[HTML][HTML] Automatic detection of COVID-19 vaccine misinformation with graph link prediction
MA Weinzierl, SM Harabagiu - Journal of biomedical informatics, 2021 - Elsevier
Enormous hope in the efficacy of vaccines became recently a successful reality in the fight
against the COVID-19 pandemic. However, vaccine hesitancy, fueled by exposure to social …
against the COVID-19 pandemic. However, vaccine hesitancy, fueled by exposure to social …
Adaptive interaction fusion networks for fake news detection
The majority of existing methods for fake news detection universally focus on learning and
fusing various features for detection. However, the learning of various features is …
fusing various features for detection. However, the learning of various features is …
Ontology-based text convolution neural network (TextCNN) for prediction of construction accidents
The construction industry suffers from workplace accidents, including injuries and fatalities,
which represent a significant economic and social burden for employers, workers, and …
which represent a significant economic and social burden for employers, workers, and …
Rumor detection based on deep learning techniques: a systematic review
L Zhang, S Ibrahim, AFA Fadzil - … Computing Electronics and …, 2024 - telkomnika.uad.ac.id
The rise of social media platforms has led to an increase in the flow and dissemination of
information, but it has also made generating and spreading rumors easier. Rumor detection …
information, but it has also made generating and spreading rumors easier. Rumor detection …
Achieving safe deep reinforcement learning via environment comprehension mechanism
P Pai, ZHU Fei, LIU Quan, Z Peiyao… - Chinese Journal of …, 2021 - Wiley Online Library
Deep reinforcement learning (DRL), which combines deep learning with reinforcement
learning, has achieved great success recently. In some cases, however, during the learning …
learning, has achieved great success recently. In some cases, however, during the learning …
Porn streamer recognition in live video based on multimodal knowledge distillation
W Liyuan, Z Jing, YAO Jiacheng… - Chinese Journal of …, 2021 - Wiley Online Library
Although deep learning has reached a higher accuracy for video content analysis, it is not
satisfied with practical application demands of porn streamer recognition in live video …
satisfied with practical application demands of porn streamer recognition in live video …
Words in pairs neural networks for text classification
Existing methods utilized single words as text features. Some words contain multiple
meanings, and it is difficult to distinguish its specific classification according to a single word …
meanings, and it is difficult to distinguish its specific classification according to a single word …
The Power of Positive Reporting: Examining China's Anti-Epidemic National Image in Mainstream Media
J Chen, K Xu, Y Chen, J Lin - Journal of Psycholinguistic Research, 2023 - Springer
Covid-19 out broke gave an extreme impact to the globe, imposing a challenge to health
publicly and causing social interruptions. As a result, the role of mainstream media in …
publicly and causing social interruptions. As a result, the role of mainstream media in …