The role of conflict in determining consensus on quality in Wikipedia articles

Osman, Kim

doi:10.1145/2491055.2491067

Cited by 11 publications

(5 citation statements)

References 14 publications

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“…The Noongarpedia Project has chosen test out these challenges by facing them head on, designing a 'pedia platform and carrying out work with Noongar community, tertiary students, primary schools and a range of other organisations. In a way reminiscent of both older Noongar conventions and the newer practices adopted by the global Wikipedia movement (Osman, 2013;2015), the Noongarpedia team have chosen to engage with these questions by 'having a go'. When confronted with hitches, ethical dilemmas and setbacks, the project chose to keep going, to try another way of approaching things and to bring critical interlocutors into the conversation.…”

Section: Resultsmentioning

confidence: 99%

Kaya wandjoo ngala Noongarpedia – Welcome to our Noongarpedia

Buchanan

Collard

Cumming

et al. 2016

Cultural Science Journal

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Section: Resultsmentioning

confidence: 99%

Kaya wandjoo ngala Noongarpedia – Welcome to our Noongarpedia

Buchanan

Collard

Cumming

et al. 2016

Cultural Science Journal

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“…The popularity of Wikipedia is even reflected in the language that scientists use in their works [5]. Despite its popularity, Wikipedia is often criticized for the low quality of content [6]. Articles on a specific subject (a thing, a human, an event, etc.)…”

Section: Introductionmentioning

confidence: 99%

Multilingual Ranking of Wikipedia Articles with Quality and Popularity Assessment in Different Topics

2019

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On Wikipedia, articles about various topics can be created and edited independently in each language version. Therefore, the quality of information about the same topic depends on the language. Any interested user can improve an article and that improvement may depend on the popularity of the article. The goal of this study is to show what topics are best represented in different language versions of Wikipedia using results of quality assessment for over 39 million articles in 55 languages. In this paper, we also analyze how popular selected topics are among readers and authors in various languages. We used two approaches to assign articles to various topics. First, we selected 27 main multilingual categories and analyzed all their connections with sub-categories based on information extracted from over 10 million categories in 55 language versions. To classify the articles to one of the 27 main categories, we took into account over 400 million links from articles to over 10 million categories and over 26 million links between categories. In the second approach, we used data from DBpedia and Wikidata. We also showed how the results of the study can be used to build local and global rankings of the Wikipedia content.

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“…Despite its popularity, Wikipedia is often criticized for the low quality of content [6]. Articles on a specific subject (a thing, a human, an event etc.)…”

Section: Introductionmentioning

confidence: 99%

Multilingual Ranking of Wikipedia Articles with Quality and Popularity Assessment in Different Topics

Lewoniewski¹,

Węcel²,

Abramowicz³

2019

Preprint

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In Wikipedia, articles about various topics can be created and edited independently in each language version. Therefore, quality of information about the same topic depends on language. Any interested user can improve an article and that improvement may depend on popularity of the article. The goal of this study is to show what topics are best represented in different language versions of Wikipedia using results of quality assessment for over 39 million articles in 55 languages. In this paper, we also analyze how popular are selected topics among readers and authors in various languages. We used two approaches to assign articles to various topics. First, we selected 27 main multilingual categories and analyzed all their connections with sub-categories based on information extracted from over 10 million categories in 55 language versions. To classify the articles to one of the 27 main categories we took into account over 400 million links from articles to over 10 million categories and over 26 million links between categories. In the second approach we used data from DBpedia and Wikidata. We also showed how the results of the study can be used to build local and global rankings of the Wikipedia content.

show abstract

The role of conflict in determining consensus on quality in Wikipedia articles

Cited by 11 publications

References 14 publications

Kaya wandjoo ngala Noongarpedia – Welcome to our Noongarpedia

Kaya wandjoo ngala Noongarpedia – Welcome to our Noongarpedia

Multilingual Ranking of Wikipedia Articles with Quality and Popularity Assessment in Different Topics

Multilingual Ranking of Wikipedia Articles with Quality and Popularity Assessment in Different Topics

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