#Wikipedia on Twitter: analyzing tweets about Wikipedia

Eva Zangerle, G. Schmidhammer, Günther Specht
{"title":"#Wikipedia on Twitter: analyzing tweets about Wikipedia","authors":"Eva Zangerle, G. Schmidhammer, Günther Specht","doi":"10.1145/2788993.2789845","DOIUrl":null,"url":null,"abstract":"Wikipedia has long become a standard source of information on the web and as such is widely referenced on the web and in social media. This paper analyzes the usage of Wikipedia on Twitter by looking into languages used on both platforms, content features of posted articles and recent edits of those articles. The analysis is based on a set of four million tweets and links these tweets to Wikipedia articles and their features to identify interesting relations. We find that within English and Japanese tweets containing a link to Wikipedia, 97% of the links lead to the English resp. Japanese Wikipedia, whereas for other languages 20% of the tweets contain a link to a Wikipedia of a different language. Our results also indicate that the number of tweets about a certain topic is not correlated to the number of recent edits on the particular page at the time of sending the tweet.","PeriodicalId":334849,"journal":{"name":"Proceedings of the 11th International Symposium on Open Collaboration","volume":"2013 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 11th International Symposium on Open Collaboration","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2788993.2789845","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9

Abstract

Wikipedia has long become a standard source of information on the web and as such is widely referenced on the web and in social media. This paper analyzes the usage of Wikipedia on Twitter by looking into languages used on both platforms, content features of posted articles and recent edits of those articles. The analysis is based on a set of four million tweets and links these tweets to Wikipedia articles and their features to identify interesting relations. We find that within English and Japanese tweets containing a link to Wikipedia, 97% of the links lead to the English resp. Japanese Wikipedia, whereas for other languages 20% of the tweets contain a link to a Wikipedia of a different language. Our results also indicate that the number of tweets about a certain topic is not correlated to the number of recent edits on the particular page at the time of sending the tweet.
#推特上的维基百科:分析关于维基百科的推文
维基百科长期以来一直是网络信息的标准来源,因此在网络和社交媒体上被广泛引用。本文通过查看两个平台上使用的语言,发布的文章的内容特征以及这些文章的最近编辑来分析维基百科在Twitter上的使用情况。该分析基于一组400万条推文,并将这些推文链接到维基百科的文章及其特征,以识别有趣的关系。我们发现,在包含维基百科链接的英文和日文推文中,97%的链接指向英文页面。日语维基百科,而对于其他语言,20%的推文包含不同语言维基百科的链接。我们的结果还表明,关于某个主题的推文数量与发送推文时特定页面上最近的编辑数量无关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信