activity
20192021
most citedEarly Detection of Fake News by Utilizing the Credibility of News, Publishers, and Users Based on Weakly Supervised Learning

4 citations · 4 across the 1 of their papers we have counts for

collaborators

5 papers

cs.CL2021

SRLF: A Stance-aware Reinforcement Learning Framework for Content-based Rumor Detection on Social Media

Chunyuan Yuan, Wanhui Qian, Qianwen Ma +2

The rapid development of social media changes the lifestyle of people and simultaneously provides an ideal place for publishing and disseminating rumors, which severely exacerbates…

cs.CL20204 cited

Early Detection of Fake News by Utilizing the Credibility of News, Publishers, and Users Based on Weakly Supervised Learning

Chunyuan Yuan, Qianwen Ma, Wei Zhou +2

The dissemination of fake news significantly affects personal reputation and public trust. Recently, fake news detection has attracted tremendous attention, and previous studies ma…

cs.CL2019

Beyond Statistical Relations: Integrating Knowledge Relations into Style Correlations for Multi-Label Music Style Classification

Qianwen Ma, Chunyuan Yuan, Wei Zhou +2

Automatically labeling multiple styles for every song is a comprehensive application in all kinds of music websites. Recently, some researches explore review-driven multi-label mus…

cs.CL2019

Jointly embedding the local and global relations of heterogeneous graph for rumor detection

Chunyuan Yuan, Qianwen Ma, Wei Zhou +2

The development of social media has revolutionized the way people communicate, share information and make decisions, but it also provides an ideal platform for publishing and sprea…

cs.CL2019

Learning review representations from user and product level information for spam detection

Chunyuan Yuan, Wei Zhou, Qianwen Ma +3

Opinion spam has become a widespread problem in social media, where hired spammers write deceptive reviews to promote or demote products to mislead the consumers for profit or fame…