Reinforcement Subgraph Reasoning for Fake News Detection-Reference-Cited by-同舟云学术

Reinforcement Subgraph Reasoning for Fake News Detection

Published:2022-08-14 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Yang Ruichao¹,Wang Xiting²,Jin Yiqiao³,Li Chaozhuo²,Lian Jianxun²,Xie Xing²

Affiliation:

1. Hong Kong Baptist University, Hong Kong SAR, Hong Kong

2. Microsoft Research Asia, Beijing, China

3. University of California, Los Angeles, Los Angeles, CA, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3534678.3539277

Reference54 articles.

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3. Carlos Castillo Marcelo Mendoza and Barbara Poblete. 2011. Information credibility on twitter. In WWW. Carlos Castillo Marcelo Mendoza and Barbara Poblete. 2011. Information credibility on twitter. In WWW.

4. Lu Cheng Ruocheng Guo Kai Shu and Huan Liu. 2021. Causal Understanding of Fake News Dissemination on Social Media. In KDD. Lu Cheng Ruocheng Guo Kai Shu and Huan Liu. 2021. Causal Understanding of Fake News Dissemination on Social Media. In KDD.

5. Ronan Collobert , JasonWeston, Léon Bottou , Michael Karlen , Koray Kavukcuoglu , and Pavel Kuksa . 2011. Natural language processing (almost) from scratch. JMLR 12 , ARTICLE ( 2011 ), 2493--2537. Ronan Collobert, JasonWeston, Léon Bottou, Michael Karlen, Koray Kavukcuoglu, and Pavel Kuksa. 2011. Natural language processing (almost) from scratch. JMLR 12, ARTICLE (2011), 2493--2537.

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