What goes on inside rumour and non-rumour tweets and their reactions: A psycholinguistic analyses
作者：
Highlights：
• Difference in psycho-linguistic characteristics between rumour and non-rumour source tweets.
• Psycho-linguistic features to differentiate between the reactions that rumour and non-rumour tweets attract.
• Contribution of psycho-linguistic features vary from event to event.
• Psycho-linguistic features for classifying rumour and non-rumour tweets using Machine Learning models.
• Psycho-linguistic features analyses using statistical metrics and SHAP plots.
摘要
•Difference in psycho-linguistic characteristics between rumour and non-rumour source tweets.•Psycho-linguistic features to differentiate between the reactions that rumour and non-rumour tweets attract.•Contribution of psycho-linguistic features vary from event to event.•Psycho-linguistic features for classifying rumour and non-rumour tweets using Machine Learning models.•Psycho-linguistic features analyses using statistical metrics and SHAP plots.
论文关键词：Rumour detection,Psycho-linguistic analyses,Explainable AI
论文评审过程：Received 29 November 2021, Revised 1 April 2022, Accepted 3 June 2022, Available online 8 June 2022, Version of Record 18 June 2022.
论文官网地址：https://doi.org/10.1016/j.chb.2022.107345
