Coordination and Division of Labor in Open Content Communities: The Role of Template Messages in Wikipedia

Rossi, Alessandro; Gaio, Loris; Besten, Matthijs den; Dalle, Jean‐Michel

doi:10.1109/hicss.2010.122

Cited by 4 publications

(3 citation statements)

References 16 publications

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“…In a similar vein, Dearman et al (2008) observed that people generally like to share knowledge, but only if they know that it would be useful for others. Other studies have shown that technological features indicating the community's knowledge need or the potential value of one's contribution to the community significantly increases knowledge sharing (Rossi et al, 2010). Testing the hypothesis in this study will provide additional empirical evidence for the relationship by directly measuring others' need as perceived by users: H1.…”

Section: Community's Knowledge Needmentioning

confidence: 70%

Community’s knowledge need and knowledge sharing in Wikipedia

Pee

2018

JKM

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Purpose In practice, showing the community’s need for knowledge (e.g. listing requests for new articles) is used to drive knowledge sharing in Wikipedia. Yet, theoretical understanding of how it influences one’s knowledge sharing is still lacking. The aim of this study is to develop a model of the influence and show that one takes others’ utility into account (utility interdependence). Design/methodology/approach The proposed model was tested with data collected in a survey of 323 Wikipedia users. Findings Others’ knowledge need affects one’s perceived forgone benefit of free riding (i.e. a cost of knowledge sharing) and, thereby, increases the intention to share knowledge. Originality/value This study contributes to research by identifying utility interdependence in knowledge sharing. For practice, the findings provide empirical support for the general belief that showing others’ knowledge need is useful for promoting sharing.

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Section: Community's Knowledge Needmentioning

confidence: 70%

Community’s knowledge need and knowledge sharing in Wikipedia

Pee

2018

JKM

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“…13 Recent evidence from large open-source software projects has indeed suggested a relationship between task difficulty and the allocation of efforts: teamwork is found more frequently on files containing more complex software procedures (den Besten et al, 2008). Compared to other communities such as open-source software or Wikipedia, where coordination and semantic signalling seems prevalent (Rossi et al, 2010;den Besten and Dalle, 2014), individual choices in AMT are likely to be affected by price signals in addition to other characteristics of tasks and projects.…”

Section: Self-selection Of Workers With Regard To Difficultymentioning

confidence: 96%

Microwork platforms as enablers to new ecosystems and business models: the challenge of managing difficult tasks

Dalle

Besten

Martínez

et al. 2017

IJTM

Self Cite

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We explore how microwork platforms manage difficult tasks in paid crowdsourcing environments. We argue that as human computation becomes more prevalent, notably in the context of big data ecosystems, microwork platforms might have to evolve and to take a more managerial stance in order to provide the right incentives to online workers to handle difficult tasks. We illustrate this first through a name disambiguation experiment on Amazon Mechanical Turk (AMT), a well-known microwork platform, and second through direct analysis of the dynamics of task execution in a dataset of real microwork projects on AMT. We discuss the emergence of more specialised microwork platforms as an attempt to facilitate a better management of difficult tasks in the context of paid crowdsourcing.

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“…Gaio et al [11] investigate the usage and the effectiveness of the cleanup tag Complex in SimpleWiki, a relative small language edition of Wikipedia that is written in basic English. In a follow-up study the authors apply similar analyses to the English Wikipedia and investigate the cleanup tag NPOV (neutral point of view) [22]. They find among others that editing increases after an article has been tagged.…”

Section: Related Work and Backgroundmentioning

confidence: 99%

A breakdown of quality flaws in Wikipedia

Anderka

Stein

2012

Proceedings of the 2nd Joint WICOW/AIRWeb Workshop on Web Quality

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The online encyclopedia Wikipedia is a successful example of the increasing popularity of user generated content on the Web. Despite its success, Wikipedia is often criticized for containing low-quality information, which is mainly attributed to its core policy of being open for editing by everyone. The identification of low-quality information is an important task since Wikipedia has become the primary source of knowledge for a huge number of people around the world. Previous research on quality assessment in Wikipedia either investigates only small samples of articles, or else focuses on single quality aspects, like accuracy or formality. This paper targets the investigation of quality flaws, and presents the first complete breakdown of Wikipedia's quality flaw structure. We conduct an extensive exploratory analysis, which reveals (1) the quality flaws that actually exist, (2) the distribution of flaws in Wikipedia, and (3) the extent of flawed content. An important finding is that more than one in four English Wikipedia articles contains at least one quality flaw, 70% of which concern article verifiability.

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Coordination and Division of Labor in Open Content Communities: The Role of Template Messages in Wikipedia

Cited by 4 publications

References 16 publications

Community’s knowledge need and knowledge sharing in Wikipedia

Community’s knowledge need and knowledge sharing in Wikipedia

Microwork platforms as enablers to new ecosystems and business models: the challenge of managing difficult tasks

A breakdown of quality flaws in Wikipedia

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