Search Results for author: Qiong Nan

Found 3 papers, 2 papers with code

Improving Fake News Detection of Influential Domain via Domain- and Instance-Level Transfer

no code implementations COLING 2022 Qiong Nan, Danding Wang, Yongchun Zhu, Qiang Sheng, Yuhui Shi, Juan Cao, Jintao Li

To address this issue, we propose a Domain- and Instance-level Transfer Framework for Fake News Detection (DITFEND), which could improve the performance of specific target domains.

Fake News Detection Language Modelling +2

Memory-Guided Multi-View Multi-Domain Fake News Detection

1 code implementation26 Jun 2022 Yongchun Zhu, Qiang Sheng, Juan Cao, Qiong Nan, Kai Shu, Minghui Wu, Jindong Wang, Fuzhen Zhuang

In this paper, we propose a Memory-guided Multi-view Multi-domain Fake News Detection Framework (M$^3$FEND) to address these two challenges.

Fake News Detection

MDFEND: Multi-domain Fake News Detection

1 code implementation4 Jan 2022 Qiong Nan, Juan Cao, Yongchun Zhu, Yanyan Wang, Jintao Li

In this paper, we first design a benchmark of fake news dataset for MFND with domain label annotated, namely Weibo21, which consists of 4, 488 fake news and 4, 640 real news from 9 different domains.

Fake News Detection

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