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#Wikipedia on Twitter: analyzing tweets about Wikipedia

Published: 19 August 2015 Publication History

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.

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  • (2020)Modeling Influence with Semantics in Social NetworksACM Computing Surveys10.1145/336978053:1(1-38)Online publication date: 6-Feb-2020
  • (2019)Towards Linked Data for Wikidata Revisions and Twitter Trending HashtagsProceedings of the 21st International Conference on Information Integration and Web-based Applications & Services10.1145/3366030.3366048(166-175)Online publication date: 2-Dec-2019
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cover image ACM Other conferences
OpenSym '15: Proceedings of the 11th International Symposium on Open Collaboration
August 2015
144 pages
ISBN:9781450336666
DOI:10.1145/2788993
  • General Chair:
  • Dirk Riehle
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Publication History

Published: 19 August 2015

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Author Tags

  1. Twitter
  2. Wikipedia
  3. quantitative study

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OpenSym '15
OpenSym '15: The 11th International Symposium on Open Collaboration
August 19 - 21, 2015
California, San Francisco

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Overall Acceptance Rate 108 of 195 submissions, 55%

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View all
  • (2023)Peer Produced Friction: How Page Protection on Wikipedia Affects Editor Engagement and ConcentrationProceedings of the ACM on Human-Computer Interaction10.1145/36101987:CSCW2(1-33)Online publication date: 4-Oct-2023
  • (2020)Modeling Influence with Semantics in Social NetworksACM Computing Surveys10.1145/336978053:1(1-38)Online publication date: 6-Feb-2020
  • (2019)Towards Linked Data for Wikidata Revisions and Twitter Trending HashtagsProceedings of the 21st International Conference on Information Integration and Web-based Applications & Services10.1145/3366030.3366048(166-175)Online publication date: 2-Dec-2019
  • (2016)LeadWise: Using Online Bots to Recruite and Guide Expert VolunteersProceedings of the 19th ACM Conference on Computer Supported Cooperative Work and Social Computing Companion10.1145/2818052.2869106(257-260)Online publication date: 27-Feb-2016
  • (2016)Analysing the Usage of Wikipedia on TwitterProceedings of the 2016 49th Hawaii International Conference on System Sciences (HICSS)10.1109/HICSS.2016.243(1920-1929)Online publication date: 5-Jan-2016
  • (undefined)Reputation Protection on Online Rating SitesSSRN Electronic Journal10.2139/ssrn.3037399
  • (undefined)Evolving Innovation Paradigms and the Global Intellectual Property RegimeSSRN Electronic Journal10.2139/ssrn.1229543

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