TY - GEN
T1 - dEFEND
T2 - 28th ACM International Conference on Information and Knowledge Management, CIKM 2019
AU - Cui, Limeng
AU - Shu, Kai
AU - Wang, Suhang
AU - Lee, Dongwon
AU - Liu, Huan
N1 - Funding Information:
This material is in part supported by the NSF awards #1614576, #1742702, #1820609, and #1915801, ONR grant N00014-17-1-2605 and N000141812108, and ORAU-directed R&D program in 2018.
Publisher Copyright:
© 2019 Association for Computing Machinery.
PY - 2019/11/3
Y1 - 2019/11/3
N2 - Despite recent advancements in computationally detecting fake news, we argue that a critical missing piece be the explainability of such detection-i.e., why a particular piece of news is detected as fake-and propose to exploit rich information in users' comments on social media to infer the authenticity of news. In this demo paper, we present our system for an explainable fake news detection called dEFEND, which can detect the authenticity of a piece of news while identifying user comments that can explain why the news is fake or real. Our solution develops a sentence-comment co-attention sub-network to exploit both news contents and user comments to jointly capture explainable top-k check-worthy sentences and user comments for fake news detection. The system is publicly accessible.
AB - Despite recent advancements in computationally detecting fake news, we argue that a critical missing piece be the explainability of such detection-i.e., why a particular piece of news is detected as fake-and propose to exploit rich information in users' comments on social media to infer the authenticity of news. In this demo paper, we present our system for an explainable fake news detection called dEFEND, which can detect the authenticity of a piece of news while identifying user comments that can explain why the news is fake or real. Our solution develops a sentence-comment co-attention sub-network to exploit both news contents and user comments to jointly capture explainable top-k check-worthy sentences and user comments for fake news detection. The system is publicly accessible.
KW - Deep learning
KW - Explainable machine Learning
KW - Fake news
UR - http://www.scopus.com/inward/record.url?scp=85075429232&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85075429232&partnerID=8YFLogxK
U2 - 10.1145/3357384.3357862
DO - 10.1145/3357384.3357862
M3 - Conference contribution
AN - SCOPUS:85075429232
T3 - International Conference on Information and Knowledge Management, Proceedings
SP - 2961
EP - 2964
BT - CIKM 2019 - Proceedings of the 28th ACM International Conference on Information and Knowledge Management
PB - Association for Computing Machinery
Y2 - 3 November 2019 through 7 November 2019
ER -