This thesis explores how the Art+Feminism Wikipedia Edit-a-thon event impacts the people who coordinate and participate in it. I review museum catalogs to determine institutional representation of women artists, and then examine the Edit-a-thon as a vernacular event on two levels: national and local. The founders have a shared vision of combating perceived barriers to participation in editing Wikipedia, but their larger goal is to address the biases in Wikipedia’s content. My interviews with organizers of the local Eugene, Oregon, edit-a-thon revealed that the network connections possible via the Internet platform of the event did not supersede the importance of face-to-face interaction and vernacular expression during the editing process. The results of my fieldwork found a clear ideological connection to the national event through the more localized satellite edit-a-thons. Both events pursue the consciousness-raising goal of information activism and the construction of a community that advocates for women’s visibility online.

Submitted by Maykon Nascimento (maykon.albani@hotmail.com) on 2015-08-20T20:34:41Z No. of bitstreams: 2 license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) Traducao como ponte plastica hibridismo e identidade em verbetes da Wikipedia.pdf: 1752621 bytes, checksum: cd73e41f230df25e920fb2c62ddf07c9 (MD5) / Approved for entry into archive by Patricia Barros (patricia.barros@ufes.br) on 2015-08-21T14:14:31Z (GMT) No. of bitstreams: 2 license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) Traducao como ponte plastica hibridismo e identidade em verbetes da Wikipedia.pdf: 1752621 bytes, checksum: cd73e41f230df25e920fb2c62ddf07c9 (MD5) / Made available in DSpace on 2015-08-21T14:14:31Z (GMT). No. of bitstreams: 2 license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) Traducao como ponte plastica hibridismo e identidade em verbetes da Wikipedia.pdf: 1752621 bytes, checksum: cd73e41f230df25e920fb2c62ddf07c9 (MD5) Previous issue date: 2013 / Este trabalho apresenta os conceitos de tradução de forma ampla, rompendo com a concepção de transformação de uma mensagem em um determinado código linguístico para outro, na qual busca-se apenas uma equivalência literal. Objetiva-se discutir a partir de teóricos em torno das teorias pós-coloniais e desconstrucionistas como Bhabha (2010), Hall (2006), Derrida (2006), Ottoni (2005), Orlandi (2008) e Niranjana (2011), a possibilidade de reposicionar a tradução, entendendo-a como ferramenta capaz de desconstruir paradigmas dominantes e, assim, recontar histórias, constituindo-se pontes plásticas. Assim, buscar-se-á pensar a tradução, na sua plasticidade, promovendo pontes que manifestam os cruzamentos existentes entre línguas, evidenciando o homem como cruzamento de diversos sujeitos. Como objeto empírico de análise, utilizaremos três verbetes presentes no site Wikipédia, nos quais traços da identidade brasileira estão envolvidos e investigar-se-á, a partir da leitura estereoscópica e da Teoria da Relevância proposta por Speber & Wilson (2001), os nuances nos processos tradutórios que podem contribuir para a forma como o Brasil é representado tanto pelas comunidades locais quanto estrangeiras, levando à constituição de estereótipos. A pesquisa aqui proposta se mostra relevante, uma vez que, objetiva estudar um corpus pouco explorado academicamente, mas em voga socialmente, já que o site Wikipédia se encontra entre os dez mais acessados da atualidade, com mais de 300 milhões de acessos únicos, além da importância de ser uma fonte de construção coletiva do pensamento, reinventando o conceito de enciclopédia. A pesquisa também se torna relevante sob a ótica dos estudos da tradução já que discorre sobre a importância do tradutor como ferramenta de formação de identidades sejam nacionais, culturais e sociais, além de propor o conceito híbrido de tradução-resenha, como uma tendência ao mundo multilingual contemporâneo / This paper presents the concepts of translation broadly, breaking with the conception that focuses on the transformation of a message in a certain language code into another, in which a merely literal equivalence is searched. This work has its theoretical basis around the postcolonial and deconstructionist theories focusing on Bhabha (2010), Hall (2006), Derrida (2006), Ottoni (2005), Orlandi (2008) and Niranjana (2011), which leads us to the possibility of rethinking the role of translation, understanding it as plastic bridges, a tool to deconstruct dominant paradigms and, consequently, retell stories and histories. Thus, it is aimed to think of translation in its plasticity, promoting bridges that express intersections among languages, showing the position of the human beings as the result of the crossing of several subjects. As the empirical object of analysis, three entries from the Wikipedia website were chosen. All of them present traces of Brazilian identity and it is aimed to investigate the nuances in the translation processes that can contribute to the way that Brazil is represented both by local and foreign communities, leading to the formation of stereotypes. This part of the work is also based on the stereoscopic reading and the Theory of Relevance proposed by Sperber & Wilson (2001). This research becomes relevant once study a corpus unexplored academically but socially in vogue, since the website Wikipedia is among the ten most accessed worldwide, with over 300 million unique access, besides the importance of being a source of collective construction of knowledge, reinventing the concept of encyclopedia. The research also becomes relevant from the perspective of translation studies once it discusses about the importance of the translator as tool for identity formation in different levels. It is also part of this study propose the hybrid concept of translation-review as a trend of the contemporary multilingual world

Submitted by Divisão de Documentação/BC Biblioteca Central (ddbc@ufam.edu.br) on 2018-04-12T13:26:59Z No. of bitstreams: 2 license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Dissertação_Guilherme M. Silva.pdf: 2022880 bytes, checksum: 02b5c0f84d9fec6a322a5ff2384d11b9 (MD5) / Approved for entry into archive by Divisão de Documentação/BC Biblioteca Central (ddbc@ufam.edu.br) on 2018-04-12T13:27:22Z (GMT) No. of bitstreams: 2 license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Dissertação_Guilherme M. Silva.pdf: 2022880 bytes, checksum: 02b5c0f84d9fec6a322a5ff2384d11b9 (MD5) / Made available in DSpace on 2018-04-12T13:27:22Z (GMT). No. of bitstreams: 2 license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Dissertação_Guilherme M. Silva.pdf: 2022880 bytes, checksum: 02b5c0f84d9fec6a322a5ff2384d11b9 (MD5) Previous issue date: 2014-07-31 / Social Networks are among the most used services on the Web. Every day, millions of users insert personal information on websites such as Orkut and Facebook. Such information is of great importance, because the user is talking about himself, representing an explicit personal data. In this dissertation, we propose a model for advertising in social networks, using information contained in the profiles of its users. For this model, we proposed a two step approach: first, an approach for identifying entities using Wikipedia articles as source to filter and expand the information contained in the profiles; and then use machine learning to reshape the ranking of recommended advertisements. / As Redes Sociais estão entre os serviços mais utilizados na Web. Diariamente, milhões de usuários inserem informações pessoais em sites como Orkut e Facebook. Esse tipo de informação tem uma grande importância, pois o usuário está falando de si mesmo, representando um dado pessoal explícito. Nesta dissertação, é proposto um modelo de veiculação de publicidade em Redes Sociais, utilizando as informações contidas nos perfis de seus usuários. Para tal modelo, propusemos uma abordagem em dois passos: primeiro, uma abordagem de identificação de entidades utilizando os artigos da Wikipedia como fonte para filtrar e expandir a informação contida nos perfis; e então, utilizamos aprendizado de máquina para reformular o ranking das propagandas recomendadas.

This thesis considers how Wikipedia justifies, structures, and legitimizes its production of knowledge. To do so the thesis positions Wikipedia as a site of conflict over the epistemic values between its wiki and encyclopaedic traditions. Through the literature review, the wiki epistemology is argued to be composed of six values: self-identification, collaboration, co-construction, cooperation, trust in the community, and constructionism. While these values are explicit, encyclopaedism’s were not found to be equally defined. To fill this gap, the thesis conducts a genre analysis of encyclopaedism. It first identifies the genre through its communicative purposes to create a universal system of total knowledge and to use this system to educate the public. Second, an analysis of recurrent social contexts within Chambers’ Cyclopaedia (1728), Diderot & d’Alembert’s Encyclopédie (1751–72), the Encyclopaedia Britannica (1771–), and Wikipedia (2001–) finds that the communicative purposes are achieved through the use of five epistemic values: utility, systematic organization, authority, trust in experts, and consistency. Third, a comparison spanning 240 years between Wikipedia and the Britannica’s article headings finds that the value of systematic organization structures Wikipedia’s articles using seventeenth century categories of knowledge. Having established two sets of values that determine Wikipedia’s production of knowledge, the thesis sets the stage for future research to analyze how Wikipedia’s epistemology is articulated in its different production spaces. Ultimately, such research may not only describe the shifting values of Wikipedia’s epistemology but also explain how knowledge is transformed and produced in the network society.

Muitos links entre páginas na Web podem ser vistos como indicadores de qualidade e importância para as páginas que eles apontam. A partir desta ideia, vários estudos propuseram métricas baseadas na estrutura de links para inferir qualidade de conteúdo em páginas da web. Contudo, até onde sabemos, o único trabalho que examinou a correlação entre tais métricas e qualidade de conteúdo consistiu de um estudo limitado que deixou várias questões em aberto. Embora tais métricas sejam muito bem sucedidas na tarefa de ranquear páginas que foram fornecidas como respostas para consultas submetidas para máquinas de busca, não é possível determinar a contribuição específica de fatores como qualidade, popularidade e importância para os resultados. Esta dificuldade se deve em parte ao fato de que a informação sobre qualidade, popularidade e importância é difícil de obter para páginas da web em geral. Ao contrário de páginas da web, estas informações podem ser obtidas para artigos da Wikipédia, uma vez que qualidade e importância são avaliadas por especialistas humanos, enquanto a popularidade pode ser estimada com base nas visualizações dos artigos. Isso torna possível a verificação da relação existente entre estes fatores e métricas de análise de links, nosso objetivo neste trabalho. Para fazer isto, nós implementamos vários algoritmos de análise de links e comparamos os rankings obtidos com eles com os obtidos considerando a avaliação humana feita na Wikipédia com relação aos fatores qualidade, popularidade e importância. Nós observamos que métricas de análise de links são mais relacionadas com qualidade e popularidade que com importância e a correlação é moderada / Many links between Web pages can be viewed as indicative of the quality and importance of the pages pointed to. Accordingly, several studies have proposed metrics based on links to infer web page content quality. However, as far as we know, the only work that has examined the correlation between such metrics and content quality consisted of a limited study that left many open questions. In spite of these metrics having been shown successful in the task of ranking pages which were provided as answers to queries submitted to search machines, it is not possible to determine the specific contribution of factors such as quality, popularity, and importance to the results. This difficulty is partially due to the fact that such information is hard to obtain for Web pages in general. Unlike ordinary Web pages, the content quality of Wikipedia articles is evaluated by human experts, which makes it feasible to verify the relation between such link analysis metrics and the quality of Wikipedia articles, our goal in this work. To accomplish that, we implemented several link analysis algorithms and compared their resulting rankings with the ones created by human evaluators regarding factors such as quality, popularity and importance. We found that the metrics are more correlated to quality and popularity than to importance, and the correlation is moderate

京都大学 / 新制・課程博士 / 博士(情報学) / 甲第24151号 / 情博第799号 / 新制||情||135(附属図書館) / 京都大学大学院情報学研究科社会情報学専攻 / (主査)教授 伊藤 孝行, 教授 吉川 正俊, 教授 緒方 広明, 特定准教授 LIN Donghui / 学位規則第4条第1項該当 / Doctor of Informatics / Kyoto University / DFAM

Biological sciences literature can be extraordinarily difficult to understand. Papers are commonly filled with terminology unique to a particular sub-discipline. Readers with expertise outside that sub-discipline often have difficulty understanding information the author is trying to convey. The WikiPDF project that is the subject of this thesis helps readers understand the biological sciences literature by automatically generating a customized glossary for each page of any technical paper available in Adobe Portable Document Format (PDF) format. WikiPDF relies on the Wikipedia®, an on-line encyclopedia created and supported by a host of volunteers, as a source of definitions used in its glossaries. WikiPDF uses the National Institutes of Health (NIH) Medline/PubMed database of journal papers to organize, index, and locate WikiPDF glossaries. Design and implementation of this project relied exclusively on open-source software, including the Linux operating system, the Apache Tomcat web server, and the MySQL relational database system.

No description available.

Studier visar att allt fler elever använder internet för informationssökning till sina studier. En del webbsidor som SO-rummet och Nationalencyklopedin.se (NE.se) har som grund att vara komplement till läromedel i undervisningen, andra webbsidor som Wikipedia (svenska versionen) har som mål att endast förmedla kunskap. Ämnesplanen för religionsämnet har som krav att eleven ska lära sig om hur religion uttrycks i både teori och praktik, men också hur den efterlevs av människor i Sverige och deras hemland. Läroböckers framställning av buddhismen har fått mycket kritik för att innehållet inte uppfyller flera av ämnesplanen och läroplanens krav. När elever vänder sig till internet för information om buddhismen är det viktig att undersöka de mest besökta webbsidornas framställning av buddhismen.I detta uppsats har tre populära webbsidor, NE.se, SO-rummet och Wikipedia undersökts för hur buddhismen framställs och hur väl framställningen uppfyller ämnesplanens krav på förståelse av religionsutövandet. Resultatet visar på att samtliga webbsidor simplifiera buddhismen olika begrepp och framställer religionen som en homogen tro. Endast Wikipedia uppnår delvis delar av ämnesplanens kunskapskrav, men är i övrigt ofullständigt i framställningen av buddhismen liksom SO-rummet och NE.se.

This study proposes and evaluates a new method for Web archiving. We leverage the caching infrastructure in Web servers for archiving. Redis is used as the page cache and its persistence mechanism is exploited for archiving. We experimentally evaluate the performance of our archival technique using the Greek version of Wikipedia deployed on Amazon cloud infrastructure. We show that there is a slight increase in latencies of the rendered pages due to archiving. Though the server performance is comparable at larger page cache sizes, the maximum throughput the server can handle decreases significantly at lower cache sizes due to more disk write operations as a result of archiving. Since pages are dynamically rendered and the technology stack of Wikipedia is extensively used in a number of Web applications, our results should have broad impact. / Master of Science