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Does it matter who contributes: a study on featured articles in the german wikipedia

Published: 10 September 2007 Publication History

Abstract

The considerable high quality of Wikipedia articles is often accredited to the large number of users who contribute to Wikipedia's encyclopedia articles, who watch articles and correct errors immediately. In this paper, we are in particular interested in a certain type of Wikipedia articles, namely, the featured articles - articles marked by a community's vote as being of outstanding quality. The German Wikipedia has the nice property that it has two types of featured articles: excellent and worth reading. We explore on the German Wikipedia whether only the mere number of contributors makes the difference or whether the high quality of featured articles results from having experienced authors contributing with a reputation for high quality contributions. Our results indicate that it does matter who contributes.

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    cover image ACM Conferences
    HT '07: Proceedings of the eighteenth conference on Hypertext and hypermedia
    September 2007
    240 pages
    ISBN:9781595938206
    DOI:10.1145/1286240
    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 ACM 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: 10 September 2007

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    Author Tags

    1. Wikipedia
    2. collaborative working
    3. measures of quality and reputation
    4. statistical analysis of Wikipedia
    5. wiki

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    HT07
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    HT07: 18th Conference on Hypertext and Hypermedia
    September 10 - 12, 2007
    Manchester, UK

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    Overall Acceptance Rate 378 of 1,158 submissions, 33%

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    • (2023)Automatic Quality Assessment of Wikipedia Articles—A Systematic Literature ReviewACM Computing Surveys10.1145/362528656:4(1-37)Online publication date: 10-Nov-2023
    • (2023)Bridging the offline and online: 20 years of offline meeting data of the German-language WikipediaJournal of Computational Social Science10.1007/s42001-023-00225-86:2(1103-1124)Online publication date: 26-Sep-2023
    • (2022)Assessing Information Quality of Wikipedia Articles Through Google’s E-A-T ModelIEEE Access10.1109/ACCESS.2022.317296210(52196-52209)Online publication date: 2022
    • (2022)Mechanisms for (Mis)allocating Scientific CreditAlgorithmica10.1007/s00453-021-00902-yOnline publication date: 6-Jan-2022
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    • (2019)A joint model for multimodal document quality assessmentProceedings of the 18th Joint Conference on Digital Libraries10.1109/JCDL.2019.00024(107-110)Online publication date: 2-Jun-2019
    • (2018)Latent Groups in Online CommunitiesComputer Supported Cooperative Work10.1007/s10606-017-9295-827:1(77-106)Online publication date: 1-Feb-2018
    • (2017)An end-to-end learning solution for assessing the quality of Wikipedia articlesProceedings of the 13th International Symposium on Open Collaboration10.1145/3125433.3125448(1-10)Online publication date: 23-Aug-2017
    • (2017)Wind power research in WikipediaScientometrics10.1007/s11192-017-2447-2112:3(1471-1488)Online publication date: 1-Sep-2017
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