activity
20172021
most citedLearning from Fact-checkers: Analysis and Generation of Fact-checking Language

5 citations · 6 across the 4 of their papers we have counts for

collaborators

7 papers

cs.AI20211 cited

Hierarchical Multi-head Attentive Network for Evidence-aware Fake News Detection

Nguyen Vo, Kyumin Lee

The widespread of fake news and misinformation in various domains ranging from politics, economics to public health has posed an urgent need to automatically fact-check information…

cs.IR2020

Where Are the Facts? Searching for Fact-checked Information to Alleviate the Spread of Fake News

Nguyen Vo, Kyumin Lee

Although many fact-checking systems have been developed in academia and industry, fake news is still proliferating on social media. These systems mostly focus on fact-checking but…

cs.IR2020

Attributed Multi-Relational Attention Network for Fact-checking URL Recommendation

Di You, Nguyen Vo, Kyumin Lee +1

To combat fake news, researchers mostly focused on detecting fake news and journalists built and maintained fact-checking sites (e.g., Snopes.com and Politifact.com). However, fake…

cs.CL20195 cited

Learning from Fact-checkers: Analysis and Generation of Fact-checking Language

Nguyen Vo, Kyumin Lee

In fighting against fake news, many fact-checking systems comprised of human-based fact-checking sites (e.g., snopes.com and politifact.com) and automatic detection systems have be…

cs.DC2018

MRAttractor: Detecting Communities from Large-Scale Graphs

Nguyen Vo, Kyumin Lee, Thanh Tran

Detecting groups of users, who have similar opinions, interests, or social behavior, has become an important task for many applications. A recent study showed that dynamic distance…

cs.IR2018

The Rise of Guardians: Fact-checking URL Recommendation to Combat Fake News

Nguyen Vo, Kyumin Lee

A large body of research work and efforts have been focused on detecting fake news and building online fact-check systems in order to debunk fake news as soon as possible. Despite…