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Academic literature on the topic 'Wikipedia editors'

Author: Grafiati

Published: 4 June 2021

Last updated: 10 February 2022

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Journal articles on the topic "Wikipedia editors"

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Minguillón, Julià, Julio Meneses, Eduard Aibar, Núria Ferran-Ferrer, and Sergi Fàbregues. "Exploring the gender gap in the Spanish Wikipedia: Differences in engagement and editing practices." PLOS ONE 16, no. 2 (2021): e0246702. http://dx.doi.org/10.1371/journal.pone.0246702.

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Wikipedia’s significant gender bias is widely acknowledged. In this paper we analyze the Spanish Wikipedia with the aim of estimating the percentage of women editors and measuring their engagement and editing practices with respect to their men counterparts. To identify the gender of Wikipedia registered users, we analyzed both the information contained in their user profile and the information provided by users about themselves on their personal user pages. Using our own coding procedure, it is possible to identify a greater number of women than by relying only on the gender reported in their user profile. Combining both methods, our results show that the percentage of women is small, a meagre 11.6% of all analyzed editors, though there is still a significant percentage of users whose gender cannot be determined by either method. Men outnumber women in all Wikipedia namespaces in a ratio that is always equal to or greater than 3:1. This fact can be partially explained by the lesser persistence of women editors, who tend to leave Wikipedia much more quickly. There is, however, a small group of veteran women editors who, in some cases, surpass men editors in terms of their editing practices and participation in different Wikipedia namespaces.

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Spree, Ulrike. "How Readers Shape the Content of an Encyclopedia: A Case Study Comparing the German Meyers Konversationslexikon (1885-1890) with Wikipedia (2002-2013)." Culture Unbound 6, no. 3 (2014): 569–91. http://dx.doi.org/10.3384/cu.2000.1525.146569.

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How knowledge is negotiated between the makers of encyclopedias and their audiences remains an ongoing question in research on encyclopedias. A comparative content analysis of the published answers of letters to the editor of the German Meyers Konversationslexikon (Korrespondenzblatt) from 1885 and the discussion pages of the article potato of the German Wikipedia (2013) reveals continuities as well as changes in the communication between encyclopedia producers and their audiences. The main reasons why readers and editors communicate are the need for updated factual information, an exchange on editorial principles and the intellectual exchange of ideas on ideological and philosophical questions in relation to the encyclopedic content. Editors and readers attach a lot of importance to the process of verifying information through bibliographical references. Whereas, for the editors of Meyers Konversationslexikon the leading role of experts remains undisputed, Wikipedians work in a contradictory situation. They are on the one hand exposing knowledge production to a permanent process of negotiation, thereby challenging the role of experts, on the other hand relying strongly on bibliographical authorities. Whilst the reasons for the communication between readers and editors of Meyers Konversationslexikon and among Wikipedia contributors coincide, the understanding of the roles of readers and editors differ. The editors of the Korrespondenzblatt keep up a lecturing attitude. As opposed to this, administrators in Wikipedia want to encourage participation and strive to develop expertise among the participating contributors. Albeit power relations between administrators, regular authors, occasional authors and readers continue to exist they are comparatively flat and transient. Regardless of these differences, the comparison between Meyers Konversationslexikon and Wikipedia indicates that the sine qua non for activating an upwards spiral of quality improvement is that readers accept, learn and cultivate common rules – including how to deal with dissent – and identify with the product at least so far as that they report mistakes.

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Zhang, Haisu, Sheng Zhang, Zhaolin Wu, Liwei Huang, and Yutao Ma. "A Method for Predicting Wikipedia Editors' Editing Interest." International Journal of Web Services Research 13, no. 3 (2016): 1–25. http://dx.doi.org/10.4018/ijwsr.2016070101.

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Recruiting or recommending appropriate potential Wikipedia editors to edit a specific Wikipedia entry (or article) can play an important role in improving the quality and credibility of Wikipedia. According to empirical observations based on a small-scale dataset collected from Wikipedia, this paper proposes an Interest Prediction Factor Graph (IPFG) model, which is characterized by editor's social properties, hyperlinks between Wikipedia entries, the categories of an entry and other important features, to predict an editor's editing interest in types of Wikipedia entries. Furthermore, the paper suggests a parameter learning algorithm based on the gradient descent algorithm and the Loopy Sum-Product algorithm for factor graphs. An experiment on a Wikipedia dataset (with different frequencies of data collection) shows that the average prediction accuracy (F1 score) of the IPFG model for data collected quarterly could be up to 0.875, which is approximately 0.49 higher than that of a collaborative filtering approach. In addition, the paper analyzes how incomplete social properties and editing bursts affect the prediction accuracy of the IPFG model. The authors' results can provide insight into effective Wikipedia article tossing and can improve the quality of special entries that belong to specific categories by means of collective collaboration.

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Kopf, Susanne. "IN VARIETATE CONCORDIA? WIKIPEDIA EDITOR DEBATES ABOUT EU CULTURE." Discourse and Interaction 14, no. 1 (2021): 53–76. http://dx.doi.org/10.5817/di2021-1-53.

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This paper addresses how the Wikipedia community has debated the existence of an EU culture on a Wikipedia discussion site between 2001 and 2019. That is, a corpus of discussions among Wikipedia editors (‘Wikipedians’) was examined to shed light on how the Wikipedians involved argue for/against the idea that an overarching EU culture exists at present. This, combined with an examination of debates about concrete cultural elements associated with the EU, permits an insight into Wikipedians’ conception(s) of the union. Drawing on argumentation analysis shows that the data examined indicates that cultural commonality across EU member states is not necessarily ascribed to the EU but to their being European countries. Additionally, even Wikipedians who argue that an overarching EU culture exists do not necessarily actually subscribe to this view but argue for reference to cultural elements in the Wikipedia article on the EU in order to signal to Wikipedia readers that the EU is “more than a set of treaties”.

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Dickison, Mike. "“Critter of the Week”: Wikipedia as a Museum Outreach Tool." Biodiversity Information Science and Standards 2 (June 15, 2018): e25798. http://dx.doi.org/10.3897/biss.2.25798.

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Many museums spend time and money fruitlessly competing with Wikipedia, creating online information resources and image galleries that will be mostly ignored, as Wikipedia is usually the highest ranked search result for any query. Wikimedia Commons can host searchable, downloadable images and Wikipedia can be easily edited by volunteers and specialists; both cost nothing to use and have a global audience. Yet most museums have no Wikipedia strategy, and often their institutional copyright policies – needlessly, for most natural history collections – prevent them from engaging and openly sharing collection information. I’ll illustrate this with the case study of the Critter of the Week project, a collaboration between Radio NZ and the Department of Conservation that relies on the open image libraries of Auckland Museum and Landcare Research. There are simple institutional policies and procedures any museum can take that will support the work of the 70,000 volunteer Wikipedia editors. An institution can also directly host edit-a-thons and Wikipedia events, organise backstage tours for local Wikipedians, and host a Wikipedian in Residence. Subject specialists in a museum can even edit and update Wikipedia themselves, reaching a larger audience than almost any other science communication medium. In some ways, this is the opposite of how GLAM (Galleries, Libraries, Archives and Museums) institutions are used to working: collaborating with non-experts, releasing imperfect and unfinished content, abandoning branding opportunities, and no longer being the single voice of authority. But if we’re serious about being relevant to our public, we need to meet them where they are – which is on Wikipedia.

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Colavizza, Giovanni. "COVID-19 research in Wikipedia." Quantitative Science Studies 1, no. 4 (2020): 1349–80. http://dx.doi.org/10.1162/qss_a_00080.

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Wikipedia is one of the main sources of free knowledge on the Web. During the first few months of the pandemic, over 5,200 new Wikipedia pages on COVID-19 were created, accumulating over 400 million page views by mid-June 2020. 1 At the same time, an unprecedented amount of scientific articles on COVID-19 and the ongoing pandemic have been published online. Wikipedia’s content is based on reliable sources, such as scientific literature. Given its public function, it is crucial for Wikipedia to rely on representative and reliable scientific results, especially in a time of crisis. We assess the coverage of COVID-19-related research in Wikipedia via citations to a corpus of over 160,000 articles. We find that Wikipedia editors are integrating new research at a fast pace, and have cited close to 2% of the COVID-19 literature under consideration. While doing so, they are able to provide a representative coverage of COVID-19-related research. We show that all the main topics discussed in this literature are proportionally represented from Wikipedia, after accounting for article-level effects. We further use regression analyses to model citations from Wikipedia and show that Wikipedia editors on average rely on literature that is highly cited, widely shared on social media, and peer-reviewed.

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Miquel Ribé, Marc, David Laniado, and Andreas Kaltenbrunner. "The Role of Local Content in Wikipedia: A Study on Reader and Editor Engagement." Área Abierta 21, no. 2 (2021): 123–51. http://dx.doi.org/10.5209/arab.72801.

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About a quarter of each Wikipedia language edition is dedicated to representing “local content”, i.e. the corresponding cultural context (geographical places, historical events, political figures, among others). To investigate the relevance of such content for users and communities, we present an analysis of reader and editor engagement in terms of pageviews and edits. The results, consistent across 15 diverse language editions, show that these articles are more engaging for readers, and especially for editors. The highest proportion of edits on cultural context content is generated by anonymous users, and also administrators engage proportionally more than plain registered editors. In fact, looking at the first week of activity of every editor in the community, administrators already engage proportionally more than other editors in content representing their cultural context. These findings indicate the relevance of this kind of content both for fulfilling readers' informational needs and stimulating the dynamics of the editing community.

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Luyt, Brendan. "“A wound that has been festering since 2007”." Journal of Documentation 73, no. 4 (2017): 689–99. http://dx.doi.org/10.1108/jd-09-2016-0109.

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Purpose The Burma/Myanmar naming controversy on Wikipedia stands as an exemplary debate at least in terms of the politeness and civility of discourse. It was also one of the longer running debates on Wikipedia beginning almost at the same time as the creation of the article in 2003. But this debate has other lessons for those interested in one of the world’s key pieces of information infrastructure. The paper aims to discuss these issues. Design/methodology/approach The author’s approach to the study of the Wikipedia talk pages devoted to the Burma/Myanmar naming controversy is qualitative in nature and explores the debate over sources through textual analysis. Findings Editors brought to their work a number of underlying assumptions including the primacy of the nation-state and the nature of a “true” encyclopedia. These were combined with a particular interpretation of neutral point of view (NPOV) policy that unnecessarily prolonged the debate and, more importantly, would have the effect, if widely adopted, of reducing Wikipedia’s potential to include multiple perspectives on any particular topic. Originality/value The study clearly shows how editors tend to uncritically reproduce the dominant assumptions of their societies. When combined with positivist readings of NPOV policy, this has grave implications for Wikipedia’s potential to open up representation to a wider set of knowledge producers and perspectives. Much of this potential cannot be realized if the assumptions of editors, especially their flawed understanding of NPOV, cannot be challenged effectively.

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Kopf, Susanne. "‘This is exactly how the Nazis ran it’: (De)legitimising the EU on Wikipedia." Discourse & Society 31, no. 4 (2020): 411–27. http://dx.doi.org/10.1177/0957926520903524.

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This article addresses how the Wikipedia community has grappled with controversial elements of the European Union’s (EU) history from 2001 to 2019. It also examines what perspective on the EU the Wikipedia editors develop in debates about the institution’s history and if/how the community has (de)legitimised the EU’s existence today in the context of discussions about the EU’s predecessors. The data examined consist of Wikipedia contributors’ debates that took place on a Wikipedia discussion site (‘talk page’). Taking a corpus-assisted approach combined with argumentation analysis and aspects of systemic functional linguistics, I found that Wikipedia editors repeatedly propose that Nazi Germany might have been a precursor of the EU today. However, the Wikipedia community ultimately rejects this notion and emphasises the voluntary nature guiding the EU’s creation process. Thus, while the EU’s legitimacy is indeed contested in the course of the debates, the Wikipedia community eventually rejects this challenge.

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Ford, Heather, and Judy Wajcman. "‘Anyone can edit’, not everyone does: Wikipedia’s infrastructure and the gender gap." Social Studies of Science 47, no. 4 (2017): 511–27. http://dx.doi.org/10.1177/0306312717692172.

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Feminist STS has long established that science’s provenance as a male domain continues to define what counts as knowledge and expertise. Wikipedia, arguably one of the most powerful sources of information today, was initially lauded as providing the opportunity to rebuild knowledge institutions by providing greater representation of multiple groups. However, less than ten percent of Wikipedia editors are women. At one level, this imbalance in contributions and therefore content is yet another case of the masculine culture of technoscience. This is an important argument and, in this article, we examine the empirical research that highlights these issues. Our main objective, however, is to extend current accounts by demonstrating that Wikipedia’s infrastructure introduces new and less visible sources of gender disparity. In sum, our aim here is to present a consolidated analysis of the gendering of Wikipedia.

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Dissertations / Theses on the topic "Wikipedia editors"

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Helgeson, Björn. "The Swedish Wikipedia Gender Gap." Thesis, KTH, Medieteknik och interaktionsdesign, MID, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-177493.

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The proportion of women editors on the English language Wikipedia has for years been known to be very low. The purpose of this thesis is to see if this gender gap exists on the Swedish language Wikipedia as well, and investigate the reasons behind it. To do this, three methods are used. Firstly a literature review is conducted, looking at women in computing and how Wikipedia works and how it was founded. Secondly, user behavior and activity-levels are measured through means of a database analysis of editors and edits. And thirdly, a survey is distributed, aimed at both readers and editors of Swedish Wikipedia, gathering some 2700 respondents. The results indicate that there is indeed a big disproportion, and that only between 13-19% of editors are women. The findings did not indicate readers of the encyclopedia having any strong negative preconceptions about Wikipedia or its community. However when looking at reasons for not contributing, women were significantly more likely to perceive themselves as not competent enough to edit. Computer skills were found to be an important factor for trying out editing in the first place, and Wikipedia’s connection to a male-dominated computing/programming culture is put forth as a reason for the resilience of the gender gap. The difference in men’s and women’s communication styles in relation to the climate Wikipedia’s policies and guidelines is also discussed.<br>Andelen kvinnor som redigerar engelskspråkiga Wikipedia har visats vara väldigt låg. Syftet med detta arbetet är att undersöka om andelen ser likadan ut på den Svenskspråkiga siten också, samt undersöka de bakomliggande orsakerna. För att göra detta används tre metoder. Först görs en literaturstudie som behandlar kvinnor inom programmering och hur Wikipedia fungerar och dess grundande. Därefter mäts användarbeteende och aktivitetsnivåer genom en databasanalys på redigerare och redigeringar. slutligen distribuerades en webb-enkät riktad till både läsare och redigerare av svenskspråkiga Wikipedia, med runt 2700 svaranden. Resultaten visar att det finns en stor snedfördelning och att endast mellan 13-19% av redigerare är kvinnor. Resultaten påvisar inte några särskilda negativa uppfattningar hos läsare om Wikipedia eller dess gemenskap. Däremot uppgav kvinnor i signifikant högre utsträckning att en viktig anledning till att de inte bidrog till encyklopedin var att de inte upplevde sig tillräckligt kompetenta. Datorvana fanns vara en viktig faktor till att testa på att redigera första gången, och Wikipedias koppling till en mans-dominerad programmeringskultur diskuteras som en faktor till den låga andelen kvinnor. Wikipedias policies och riktlinjer och dess sammankoppling med skillnader i män och kvinnors kommunikationsstilar på internet diskuteras även.

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Books on the topic "Wikipedia editors"

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Frey, Bruno S., and Jana Gallus. Awards in the Voluntary Sector. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198798507.003.0005.

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In the voluntary sector awards play a particularly important role because the respective organizations are often cash constrained, and social recognition is an important motivation for volunteers (which risks being crowded out by monetary pay). There are millions of people who voluntarily contribute to Wikipedia under pseudonyms (i.e. make anonymous contributions), but the number of active editors is on a pronounced decline, particularly among new editors. A field experiment is presented, which shows that a purely symbolic award scheme targeted at newcomers significantly raises their retention rate. The motivational effect persists over an entire year. It can be explained by the enhanced identity with the community, status and reputation concerns, recognition and self-confidence, and attention.

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Book chapters on the topic "Wikipedia editors"

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Au Yeung, Ching-man, Kevin Duh, and Masaaki Nagata. "Providing Cross-Lingual Editing Assistance to Wikipedia Editors." In Computational Linguistics and Intelligent Text Processing. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19437-5_31.

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Yoshida, Yutaka, and Hayato Ohwada. "Identifying Important Factors for Future Contribution of Wikipedia Editors." In Knowledge Management and Acquisition for Intelligent Systems. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32541-0_25.

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Zhang, Dell, Karl Prior, Mark Levene, Robert Mao, and Diederik van Liere. "Leave or Stay: The Departure Dynamics of Wikipedia Editors." In Advanced Data Mining and Applications. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35527-1_1.

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Chandra, Anita, and Abyayananda Maiti. "Modeling New and Old Editors’ Behaviors in Different Languages of Wikipedia." In Web Information Systems Engineering – WISE 2018. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-02925-8_31.

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Bukowski, Leszek, Michał Jankowski-Lorek, Szymon Jaroszewicz, and Marcin Sydow. "What Makes a Good Team of Wikipedia Editors? A Preliminary Statistical Analysis." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-55285-4_2.

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Gandica, Y., R. Lambiotte, T. Carletti, F. Sampaio dos Aidos, and J. Carvalho. "Circadian Patterns on Wikipedia Edits." In Studies in Computational Intelligence. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30569-1_22.

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Lu, Yuqing, Lei Zhang, and Juanzi Li. "Evaluating Article Quality and Editor Reputation in Wikipedia." In Linked Data and Knowledge Graph. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-54025-7_19.

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Qin, Xiangju, Derek Greene, and Pádraig Cunningham. "A Latent Space Analysis of Editor Lifecycles in Wikipedia." In Lecture Notes in Computer Science. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-29009-6_3.

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Li, Xinyi, Jintao Tang, Ting Wang, Zhunchen Luo, and Maarten de Rijke. "Automatically Assessing Wikipedia Article Quality by Exploiting Article–Editor Networks." In Lecture Notes in Computer Science. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16354-3_64.

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Wang, Se, and Mizuho Iwaihara. "Quality Evaluation of Wikipedia Articles through Edit History and Editor Groups." In Web Technologies and Applications. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20291-9_20.

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Conference papers on the topic "Wikipedia editors"

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Nakamura, Akira, Yu Suzuki, and Yoshiharu Ishikawa. "Clustering Editors of Wikipedia by Editor's Biases." In 2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT). IEEE, 2013. http://dx.doi.org/10.1109/wi-iat.2013.50.

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Kaffee, Lucie-Aimée, and Hady Elsahar. "References in Wikipedia: The Editors’ Perspective." In WWW '21: The Web Conference 2021. ACM, 2021. http://dx.doi.org/10.1145/3442442.3452337.

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West, Robert, Ingmar Weber, and Carlos Castillo. "A data-driven sketch of Wikipedia editors." In the 21st international conference companion. ACM Press, 2012. http://dx.doi.org/10.1145/2187980.2188162.

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Zhang, Dell, Karl Prior, and Mark Levene. "How long do Wikipedia editors keep active?" In the Eighth Annual International Symposium. ACM Press, 2012. http://dx.doi.org/10.1145/2462932.2462938.

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Suzuki, Yu, and Satoshi Nakamura. "Assessing the Quality of Wikipedia Editors through Crowdsourcing." In the 25th International Conference Companion. ACM Press, 2016. http://dx.doi.org/10.1145/2872518.2891113.

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West, Robert, Ingmar Weber, and Carlos Castillo. "Drawing a data-driven portrait of Wikipedia editors." In the Eighth Annual International Symposium. ACM Press, 2012. http://dx.doi.org/10.1145/2462932.2462937.

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Nemoto, Keiichi, Peter Gloor, and Robert Laubacher. "Social capital increases efficiency of collaboration among Wikipedia editors." In the 22nd ACM conference. ACM Press, 2011. http://dx.doi.org/10.1145/1995966.1995997.

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Jaidka, Kokil, Andrea Ceolin, Iknoor Singh, Niyati Chhaya, and Lyle Ungar. "WikiTalkEdit: A Dataset for modeling Editors’ behaviors on Wikipedia." In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Association for Computational Linguistics, 2021. http://dx.doi.org/10.18653/v1/2021.naacl-main.177.

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Brückner, Sebastian, Florian Lemmerich, and Markus Strohmaier. "Inferring Sociodemographic Attributes of Wikipedia Editors: State-of-the-art and Implications for Editor Privacy." In WWW '21: The Web Conference 2021. ACM, 2021. http://dx.doi.org/10.1145/3442442.3452350.

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Suzuki, Yu, and Masatoshi Yoshikawa. "Mutual evaluation of editors and texts for assessing quality of Wikipedia articles." In the Eighth Annual International Symposium. ACM Press, 2012. http://dx.doi.org/10.1145/2462932.2462956.

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