A link2vec-based fake news detection model using web search results

作者：

Highlights：

• Web search results can be proper context information source for fake news detection.

• Link2vec is proposed to convert web search results into an embedding vector.

• Link2vec-based model outperforms conventional fake news detection models.

• Link2vec-based fake news detection can be applied regardless of its languages.

摘要

•Web search results can be proper context information source for fake news detection.•Link2vec is proposed to convert web search results into an embedding vector.•Link2vec-based model outperforms conventional fake news detection models.•Link2vec-based fake news detection can be applied regardless of its languages.

论文关键词：Fake news detection,Link2vec,Web search result,Feature selection,Deep learning

论文评审过程：Received 30 August 2020, Revised 15 April 2021, Accepted 24 June 2021, Available online 30 June 2021, Version of Record 6 July 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115491