Can you fool AI by doing a 180? — A case study on authorship analysis of texts by Arata Osada
作者:
Highlights:
• A shift in writer’s opinions poses a challenge to author analysis solutions.
• Time-related changes have to be considered in an authorship analysis task.
• Drop in performance of solution highest for fiction books due to topical diversity.
摘要
•A shift in writer’s opinions poses a challenge to author analysis solutions.•Time-related changes have to be considered in an authorship analysis task.•Drop in performance of solution highest for fiction books due to topical diversity.
论文关键词:Authorship analysis,Single authorship identification,Authorship verification,Similarity detection,Binary text classification,Transformers,Personal ethics
论文评审过程:Received 30 October 2020, Revised 25 April 2021, Accepted 18 May 2021, Available online 3 June 2021, Version of Record 3 June 2021.
论文官网地址:https://doi.org/10.1016/j.ipm.2021.102644