[HTML][HTML] Deep learning for fake news detection: A comprehensive survey
The information age enables people to obtain news online through various channels, yet in
the meanwhile making false news spread at unprecedented speed. Fake news exerts …
the meanwhile making false news spread at unprecedented speed. Fake news exerts …
Transformer-based models for combating rumours on microblogging platforms: a review
The remarkable success of Transformer-based embeddings in natural language tasks has
sparked interest among researchers in applying them to classify rumours on social media …
sparked interest among researchers in applying them to classify rumours on social media …
Mining user-aware multi-relations for fake news detection in large scale online social networks
Users' involvement in creating and propagating news is a vital aspect of fake news detection
in online social networks. Intuitively, credible users are more likely to share trustworthy …
in online social networks. Intuitively, credible users are more likely to share trustworthy …
Review of stance detection for rumor verification in social media
HF Alsaif, HD Aldossari - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Social media is a perfect breeding ground for false rumors due to the simplicity of sharing
information, which may have negative implications in a variety of domains, including …
information, which may have negative implications in a variety of domains, including …
A Proposed Model for Persian Stance Detection on Social Media
M Farhoodi, A Toloie Eshlaghy, MR Motadel - International Journal of …, 2023 - ije.ir
Stance detection is a recent research topic that has become an emerging paradigm of the
importance of opinion-mining. It is intended to determine the author's views toward a specific …
importance of opinion-mining. It is intended to determine the author's views toward a specific …
Reinforcement Tuning for Detecting Stances and Debunking Rumors Jointly with Large Language Models
Learning multi-task models for jointly detecting stance and verifying rumors poses
challenges due to the need for training data of stance at post level and rumor veracity at …
challenges due to the need for training data of stance at post level and rumor veracity at …
End-to-End Deep Networks with Hierarchical Attention and Capsule Capabilities for Misinformation Detection on Microblogging Platforms
S Tarnpradab, KA Hua - SN Computer Science, 2024 - Springer
Widespread dissemination of misinformation over online social media has brought about
negative consequences that disrupt lives on so many levels, from personal to an entire …
negative consequences that disrupt lives on so many levels, from personal to an entire …
Evidence-based early rumor verification in social media
F Haouari - European Conference on Information Retrieval, 2022 - Springer
A plethora of studies has been conducted in the past years on rumor verification in micro-
blogging platforms. However, most of them exploit the propagation network, ie, replies and …
blogging platforms. However, most of them exploit the propagation network, ie, replies and …
Rumor detection based on deep learning techniques: a systematic review
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 …
[HTML][HTML] Persian Stance Detection Based On Multi-Classifier Fusion
M Farhoodi, A Toloie Eshlaghy - Journal of Information and …, 2024 - jour.aicti.ir
Stance detection (also known as stance classification, stance prediction, and stance
analysis) is a recent research topic that has become an emerging paradigm of the …
analysis) is a recent research topic that has become an emerging paradigm of the …