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The quality of Wikipedia articles regarding concepts in the field of microbiology and parasitology ...
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The quality of Wikipedia articles regarding concepts in the field of microbiology and parasitology ...
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«МІЖНАРОДНИЙ ДЕНЬ РІДНОЇ МОВИ» І МОВНІ РОЗДІЛИ ВІКІПЕДІЇ ...
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«МІЖНАРОДНИЙ ДЕНЬ РІДНОЇ МОВИ» І МОВНІ РОЗДІЛИ ВІКІПЕДІЇ ...
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Tracking the framing of politicians and news events across the multilingual Wikipedia:translation and its unseen impact ...
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Tracking the framing of politicians and news events across the multilingual Wikipedia:translation and its unseen impact ...
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| 50 |
Modeling Popularity and Reliability of Sources in Multilingual Wikipedia
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In: Information ; Volume 11 ; Issue 5 (2020)
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| 51 |
LingConc: A Tool for Linguistics, Learning, and Digital Humanities with Top-down Access ...
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LingConc: A Tool for Linguistics, Learning, and Digital Humanities with Top-down Access ...
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| 53 |
Mining cross-cultural relations from Wikipedia: A study of 31 European food cultures
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In: Proceedings of the 7th ACM Web Science Conference 2015 ; 1-10 ; ACM Web Science Conference (WebSci '15) ; 7 (2020)
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"(Weitergeleitet von Journalistin)": The Gendered Presentation of Professions on Wikipedia
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In: Proceedings of the 9th ACM on Web Science Conference 2017 ; 83-92 ; ACM Web Science Conference (WebSci '17) ; 9 (2020)
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| 55 |
La détection automatique multilingue d’énoncés biaisés dans Wikipédia
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Abstract:
Nous proposons une méthode multilingue pour l'extraction de phrases biaisées de Wikipédia, et l'utilisons pour créer des corpus en bulgare, en français et en anglais. En parcourant l'historique des révisions des articles, nous cherchons ceux qui, à un moment donné, avaient été considérés en violation de la politique de neutralité de Wikipédia (et corrigés par la suite). Pour chacun de ces articles, nous récupérons la révision signalée comme biaisée et la révision qui semble avoir corrigé le biais. Ensuite, nous extrayons les phrases qui ont été supprimées ou réécrites dans cette révision. Cette approche permet d'obtenir suffisamment de données même dans le cas de Wikipédias relativement petites, comme celle en bulgare, où de 62 000 articles nous avons extrait 5 000 phrases biaisées. Nous évaluons notre méthode en annotant manuellement 520 phrases pour le bulgare et le français, et 744 pour l'anglais. Nous évaluons le niveau de bruit, ses sources et analysons les formes d’expression de biais. Enfin, nous utilisons les données pour entrainer et évaluer la performance d’algorithmes de classification bien connus afin d’estimer la qualité et le potentiel des corpus. ; We propose a multilingual method for the extraction of biased sentences from Wikipedia, and use it to create corpora in Bulgarian, French and English. Sifting through the revision history of the articles that at some point had been considered biased and later corrected, we retrieve the last tagged and the first untagged revisions as the before/after snapshots of what was deemed a violation of Wikipedia’s neutral point of view policy. We extract the sentences that were removed or rewritten in that edit. The approach yields sufficient data even in the case of relatively small Wikipedias, such as the Bulgarian one, where 62k articles produced 5 thousand biased sentences. We evaluate our method by manually annotating 520 sentences for Bulgarian and French, and 744 for English. We assess the level of noise and analyze its sources. Finally, we exploit the data with well-known classification methods to detect biased sentences.
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Keyword:
Biais; Bias; Classification; Corpora; Corpus; Language - Linguistics / Langues - Linguistique (UMI : 0290); Multilingual; Multilingue; Neutralité; Neutrality; Wikipédia
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URL: http://hdl.handle.net/1866/25107
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| 56 |
Understanding collective attention processes through Wikipedia
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In: ASA 2020 115th Annual Meeting of the American Sociological Association (2020)
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Discovering the world through collective attentions: navigating Wikipedia’s archive of consultation traces
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In: Digital traces, navigational paths, and intellectual mobilities: How researchers navigate libraries and online platforms and how to foster such practices (2020)
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| 58 |
Le discussioni di Wikipedia
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In: Lingue e culture dei media; V. 4 N. 2 (2020): Accordi e disaccordi in rete: aspetti linguistici, comunicativi e psicosociali, a cura di Angela Ferrari, Letizia Lala e Filippo Pecorari; 59-77 ; 2532-1803 (2020)
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| 59 |
L'italiano di Wikipedia e la didattica della scrittura
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In: Lingue e culture dei media; V. 4 N. 1 (2020); 8-26 ; 2532-1803 (2020)
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