Learning to Trust the Crowd: Some Lessons from Wikipedia

Olleros, F. Xavier

doi:10.1109/mcetech.2008.17

Cited by 18 publications

(17 citation statements)

References 3 publications

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“…In this way, quantitative examinations about its articles, authors, visits or contributions have made part of different studies [11,6,3]. However, most of previous research involving Wikipedia is concerned with the quality and reliability of its contents ( [2,1] or [7,5,4]) or focus on the study of its growth tendency and evolution [9,8]. By contrast, very few studies [10] have been devoted to analyze the manner in which users interact and make use of Wikipedia.…”

Section: Introductionmentioning

confidence: 99%

Temporal Characterization of the Requests to Wikipedia

Reinoso¹,

González-Barahona²,

Muñoz-Mansilla

et al. 2013

New Challenges in Distributed Information Filtering and Retrieval

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This paper presents an empirical study about the temporal patterns characterizing the requests submitted by users to Wikipedia. The study is based on the analysis of the log lines registered by the Wikimedia Foundation Squid servers after having sent the appropriate content in response to users' requests. The analysis has been conducted regarding the ten most visited editions of Wikipedia and has involved more than 14,000 million log lines corresponding to the traffic of the entire year 2009. The conducted methodology has mainly consisted in the parsing and filtering of users' requests according to the study directives. As a result, relevant information fields have been finally stored in a database for persistence and further characterization. In this way, we, first, assessed, whether the traffic to Wikipedia could serve as a reliable estimator of the overall traffic to all the Wikimedia Foundation projects. Our subsequent analysis of the temporal evolutions corresponding to the different types of requests to Wikipedia revealed interesting differences and similarities among them that can be related to the users' attention to the Encyclopedia. In addition, we have performed separated characterizations of each Wikipedia edition to compare their respective evolutions over time.

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Section: Introductionmentioning

confidence: 99%

Temporal Characterization of the Requests to Wikipedia

Reinoso¹,

González-Barahona²,

Muñoz-Mansilla

et al. 2013

New Challenges in Distributed Information Filtering and Retrieval

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“…It needs to be both-sided, meaning that the employees should also trust in the enterprise [1]. Only then such decentralisation will achieve its goals [9], otherwise it may lead to adverse effects on the enterprise.…”

Section: Article In Pressmentioning

confidence: 99%

Wisdom of the Crowd within enterprises: Practices and challenges

et al. 2015

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a b s t r a c tThe Wisdom of the Crowd advocates that decisions collectively made by a diverse crowd could be better than those made by an elite group of experts. The Wisdom of the Crowd puts preconditions on this to work correctly. This concerns the diversity of the crowd, their independence from each other, their decentralisation, and the methods of aggregating their distributed knowledge and forming collective decisions. Although the concept is inspiring, its interpretation and conduct differ significantly amongst enterprises, especially with regard to the culture and style of management. In addition, we still lack reflections on how the Wisdom of the Crowd worked in the practice of modern enterprises. To address this lack of knowledge, this paper conducts an empirical study following a mixed method approach involving 35 senior managers coming from 33 different industries in the UK. In the first phase we interview eight managers and, in the second, we confirm and enhance the results by a survey consisting of open-ended questions and involving 27 other managers. The results shed light on the current practice of the Wisdom of the Crowd in several UK enterprises, which can inform the analysis and design of future software tools meant to aid this emerging decision-making mechanism.

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“…This significant relevance has made Wikipedia to become a subject of increasing interest for the research community. However, this research usually concerns quality and reliability aspects about the Wikipedia contents (Priedhorsky et al, 2007;Olleros, 2008) or examines its growth or evolution (Suh et al, 2009). By contrast, very few studies have been devoted to analyze how Wikipedia users visit and browse the encyclopedia.…”

Section: Introductionmentioning

confidence: 99%

A Quantitative Examination of the Impact of Featured Articles in Wikipedia

Reinoso

González-Barahona

Muñoz-Mansilla

et al. 2011

Proceedings of the 6th International Conference on Software and Database Technologies

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Abstract:This paper presents a quantitative examination of the impact of the presentation of featured articles as quality content in the main page of several Wikipedia editions. Moreover, the paper also presents the analysis performed to determine the number of visits received by the articles promoted to the featured status. We have analyzed the visits not only in the month when articles awarded the promotion or were included in the main page, but also in the previous and following ones. The main aim for this is to assess the attention attracted by the featured content and the different dynamics exhibited by each community of users in respect to the promotion process. The main results of this paper are twofold: it shows how to extract relevant information related to the use of Wikipedia, which is an emerging research topic, and it analyzes whether the featured articles mechanism achieve to attract more attention.

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Learning to Trust the Crowd: Some Lessons from Wikipedia

Abstract: Inspired by the open source software (OSS)

Cited by 18 publications

References 3 publications

Temporal Characterization of the Requests to Wikipedia

Temporal Characterization of the Requests to Wikipedia

Wisdom of the Crowd within enterprises: Practices and challenges

A Quantitative Examination of the Impact of Featured Articles in Wikipedia

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