TY - GEN
T1 - XFake
T2 - 2019 World Wide Web Conference, WWW 2019
AU - Yang, Fan
AU - Du, Mengnan
AU - Ragan, Eric D.
AU - Pentyala, Shiva K.
AU - Yuan, Hao
AU - Ji, Shuiwang
AU - Mohseni, Sina
AU - Linder, Rhema
AU - Hu, Xia
N1 - Publisher Copyright:
© 2019 IW3C2 (International World Wide Web Conference Committee), published under Creative Commons CC-BY 4.0 License.
PY - 2019/5/13
Y1 - 2019/5/13
N2 - In this demo paper, we present the XFake system, an explainable fake news detector that assists end-users to identify news credibility. To effectively detect and interpret the fakeness of news items, we jointly consider both attributes (e.g., speaker) and statements. Specifically, MIMIC, ATTN and PERT frameworks are designed, where MIMIC is built for attribute analysis, ATTN is for statement semantic analysis and PERT is for statement linguistic analysis. Beyond the explanations extracted from the designed frameworks, relevant supporting examples as well as visualization are further provided to facilitate the interpretation. Our implemented system is demonstrated on a real-world dataset crawled from PolitiFact1, where thousands of verified political news have been collected.
AB - In this demo paper, we present the XFake system, an explainable fake news detector that assists end-users to identify news credibility. To effectively detect and interpret the fakeness of news items, we jointly consider both attributes (e.g., speaker) and statements. Specifically, MIMIC, ATTN and PERT frameworks are designed, where MIMIC is built for attribute analysis, ATTN is for statement semantic analysis and PERT is for statement linguistic analysis. Beyond the explanations extracted from the designed frameworks, relevant supporting examples as well as visualization are further provided to facilitate the interpretation. Our implemented system is demonstrated on a real-world dataset crawled from PolitiFact1, where thousands of verified political news have been collected.
KW - Explainable models
KW - Fake news detection
KW - System visualization
UR - http://www.scopus.com/inward/record.url?scp=85066910246&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85066910246&partnerID=8YFLogxK
U2 - 10.1145/3308558.3314119
DO - 10.1145/3308558.3314119
M3 - Conference contribution
AN - SCOPUS:85066910246
T3 - The Web Conference 2019 - Proceedings of the World Wide Web Conference, WWW 2019
SP - 3600
EP - 3604
BT - The Web Conference 2019 - Proceedings of the World Wide Web Conference, WWW 2019
PB - Association for Computing Machinery, Inc
Y2 - 13 May 2019 through 17 May 2019
ER -