Quantifying the Impact of Biopics on Wikipedia Articles

被引:0
|
作者
Verma, Amit Arjun [1 ]
Dubey, Neeru [1 ]
Setia, Simran [1 ]
Kamtam, Prudvi [2 ]
Iyengar, S. R. S. [1 ]
机构
[1] Indian Inst Technol, Ropar, India
[2] Jawaharlal Nehru Technol Univ, Hyderabad, India
关键词
Data Science; Human-Computer Interactions; Knowledge Building; NLP; Opensource; Readability; Social Computing; Text-Mining; Wikipedia;
D O I
10.4018/JCIT.20220701.oa5
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Wikipedia is known for its extensive and comprehensive knowledge of multifarious topics. These topics are maintained as articles along with a history of versions of these articles; these versions are also known as revisions. Revisions are the results of edits made by various users. Here, the authors analyze biographical Wikipedia articles, mainly biographies that have a movie based on them released after the year 2010. The authors look at the impact of the movie release on its corresponding biography article on Wikipedia by looking at various metrics of each revision in a Wikipedia article and analyze how the revisions closer to the movie's release date compare with the rest of the revisions. The results show that quality and content in Wikipedia articles increases significantly during the release timeframe of corresponding biopics. The authors believe their work will stimulate more research in the direction of understanding Wikipedia's relationship with its allied portals.
引用
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页数:11
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