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 …
Improving rumor detection by class-based adversarial domain adaptation
Since rumors widely spread on social networks can cause serious negative impacts, a batch
of studies have investigated how to detect rumors. Most of them rely on existing datasets and …
of studies have investigated how to detect rumors. Most of them rely on existing datasets and …
Rumor Detection Framework Based on Multi-source Knowledge Adaptation
Rumors proliferating on social media pose significant risks to politics, economics, and
society. A considerable amount of research focuses on improving automated rumor …
society. A considerable amount of research focuses on improving automated rumor …
Rumour detection and classification on microblogging platforms
R Anggrainingsih - 2024 - research-repository.uwa.edu.au
Online misinformation spreads rapidly, demanding automated rumour detection. BERT
embeddings show promise for microblogging rumour classification, capturing contextual …
embeddings show promise for microblogging rumour classification, capturing contextual …