7 citations · 10 across the 4 of their papers we have counts for
4 papers
MVAN: Multi-View Attention Networks for Fake News Detection on Social Media
Shiwen Ni, Jiawen Li, Hung-Yu Kao
Fake news on social media is a widespread and serious problem in today's society. Existing fake news detection methods focus on finding clues from Long text content, such as origin…
HAT4RD: Hierarchical Adversarial Training for Rumor Detection on Social Media
Shiwen Ni, Jiawen Li, Hung-Yu Kao
With the development of social media, social communication has changed. While this facilitates people's communication and access to information, it also provides an ideal platform…
Meet The Truth: Leverage Objective Facts and Subjective Views for Interpretable Rumor Detection
Jiawen Li, Shiwen Ni, Hung-Yu Kao
Existing rumor detection strategies typically provide detection labels while ignoring their explanation. Nonetheless, providing pieces of evidence to explain why a suspicious tweet…
Rumor Detection on Twitter Using Multiloss Hierarchical BiLSTM with an Attenuation Factor
Yudianto Sujana, Jiawen Li, Hung-Yu Kao
Social media platforms such as Twitter have become a breeding ground for unverified information or rumors. These rumors can threaten people's health, endanger the economy, and affe…