What the fake? Probing misinformation detection standing on the shoulder of novelty and emotion
作者：
Highlights：
• “Novelty” is a key attribute for misinformation or fake news.
• False stories inspired negative emotions and true stories inspired positive emotions.
• We explore the role of novelty and emotion to classify misinformation content.
• We use pre-trained models on Textual Novelty Detection and Emotion Prediction tasks.
• We design a transfer learning-based deep neural architecture for fake news detection.
摘要
•“Novelty” is a key attribute for misinformation or fake news.•False stories inspired negative emotions and true stories inspired positive emotions.•We explore the role of novelty and emotion to classify misinformation content.•We use pre-trained models on Textual Novelty Detection and Emotion Prediction tasks.•We design a transfer learning-based deep neural architecture for fake news detection.
论文关键词：Fake news detection,Novelty prediction,Emotion prediction,Deep learning
论文评审过程：Received 31 October 2020, Revised 6 August 2021, Accepted 28 August 2021, Available online 13 October 2021, Version of Record 13 October 2021.
论文官网地址：https://doi.org/10.1016/j.ipm.2021.102740
