Understanding Wikipedia Usage and Quality


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. Articles on Wikipedia are created and maintained by a committed community, where individual users update, extend and review articles in a collaborative effort. Naturally, the quality of articles is of great importance to the community. Our research aims at making quality on Wikipedia measurable and investigate novel approaches to increase quality on Wikipedia.

One example for a method for improving quality is the Wikidata platform, a crowdsourced, structured knowledgebase aiming to provide integrated, free and language-agnostic facts which are-amongst others-used by Wikipedias. Users who actively enter, review and revise data on Wikidata are assisted by a property suggesting system which provides users with properties that might also be applicable to a given item. We are particularly interested in improving this recommendation mechanism and hence, assisting users to contribute to an even more integrated, consistent and extensive knowledge base serving a huge variety of applications.

[image copyright by niuner@deviantart]





Adelheid Heftberger, Jakob Höper, Claudia Müller-Birn, Niels-Oliver Walkowski and Eva Zangerle: Employing Wikidata for Fostering Scholarly Research. WikiDataCon 2017, Berlin, available online at https://www.wikidata.org/wiki/Wikidata:WikidataCon_2017/Submissions/Employing_Wikidata_for_Fostering_Scholarly_Research


Bib Link

Eva Zangerle, Georg Schmidhammer and Günther Specht: Analysing the Usage of Wikipedia on Twitter: Understanding Inter-Language Links. In Proc. of 49th Hawaii International Conference on System Sciences (HICSS 2016), Kauai, Hawaii, USA, January 5-8, 2016, pages 1920-1929. IEEE, Jan. 2016.

Bib Link Download

Eva Zangerle, Wolfgang Gassler, Martin Pichl, Stefan Steinhauser and Günther Specht: An Empirical Evaluation of Property Recommender Systems for Wikidata and Collaborative Knowledge Bases. In Proceedings of the 12th International Symposium on Open Collaboration (OpenSym 2016), Berlin, Germany, August 17-19, 2016, pages 18:1-18:8. ACM, 2016.


Bib Link Download

Eva Zangerle, Georg Schmidhammer and Günther Specht: #Wikipedia on Twitter: Analyzing Tweets About Wikipedia. In Proceedings of the 11th International Symposium on Open Collaboration, pages 14:1-14:8. ACM, Apr 2015.


Bib Download

Alex Larcher, Eva Zangerle, Wolfgang Gassler and Günther Specht: Key Recommendations for Infoboxes in Wikipedia, 2011, Poster Presentation