How Wikipedia disease information evolve over time? An analysis of disease-based articles changes

作者：

Highlights：

• Development of an analysis of how Wikipedia disease-related articles in English evolve over time.

• Historical information is extracted from the articles and how their content (references, characters, diagnostic-related terms) change over time is analysed.

• Most of the articles increase their content through time and this is not influenced by the number of references.

• Hot topics/diseases attract highest number of editions and views.

• Less well-known diseases have abrupt changes, which might be consequence of having new knowledge about them.

摘要

•Development of an analysis of how Wikipedia disease-related articles in English evolve over time.•Historical information is extracted from the articles and how their content (references, characters, diagnostic-related terms) change over time is analysed.•Most of the articles increase their content through time and this is not influenced by the number of references.•Hot topics/diseases attract highest number of editions and views.•Less well-known diseases have abrupt changes, which might be consequence of having new knowledge about them.

论文关键词：Wikipedia disease,Diagnostic knowledge,Information retrieval,Change knowledge,Wikipedia evolution,Medical content

论文评审过程：Received 23 November 2019, Revised 26 January 2020, Accepted 10 February 2020, Available online 19 February 2020, Version of Record 19 February 2020.

论文官网地址：https://doi.org/10.1016/j.ipm.2020.102225