A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf
.
GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media
[article]
2020
arXiv
pre-print
This paper solves the fake news detection problem under a more realistic scenario on social media. Given the source short-text tweet and the corresponding sequence of retweet users without text comments, we aim at predicting whether the source tweet is fake or not, and generating explanation by highlighting the evidences on suspicious retweeters and the words they concern. We develop a novel neural network-based model, Graph-aware Co-Attention Networks (GCAN), to achieve the goal. Extensive
arXiv:2004.11648v1
fatcat:fwzwjwqggbff3c5q4nvzh5lalm