互联网时代,假新闻铺天盖地,而且极具迷惑性,因此假新闻检测任务对逻辑的判断,以及常识的学习都需要很高的要求。本文和大家分享『虚假新闻检测』相关研究进展,包括创新点、改进点等。本文涉及到的论文列表如下:
- AAAI 2020 | Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks
- AAAI 2020 | Capturing the Style of Fake News
- AAAI 2020 | Weak Supervision for Fake News Detection via Reinforcement Learning
- WWW 2020 | Proactive Discovery of Fake News Domains from Real-Time Social Media Feeds
- SIGKDD 2019 | dEFEND: Explainable Fake News Detection
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