Measuring article quality in wikipedia

Hu, Meiqun; Lim, Ee-Peng; Sun, Aixin; Lauw, Hady W.; Vuong, Ba-Quy

doi:10.1145/1321440.1321476

Cited by 196 publications

(162 citation statements)

References 20 publications

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“…On Wikipedia, regarding classes FA and GA, experiments are very conclusive. Proposed solution clearly outperforms Basic [10], suggesting a non-negligible benefit (+2 % and +9 % for FA and GA articles resp.) of considering the strength of collaborations to identify high quality articles.…”

Section: Experiments Resultsmentioning

confidence: 96%

“…More particularly, non considering such features leads to the greatest loss in terms of model quality. Hu et al [10] propose to identify high quality articles on Wikipedia by exploiting this mutual dependency over a bipartite graph associating the articles to their contributors. Still on Wikipedia, a previous work [8] shows the interest of considering a coedit relation between authors and reviewers to identify high quality articles.…”

Section: Related Workmentioning

confidence: 99%

“…On Wiki, the Basic model [10] constitutes a particular instance of the proposal, considering a bipartite graph (m = 2). Inter-user and inter-document relations are not considered, i.e., V 11 = V 22 = ∅.…”

Section: Fig 2 (A) Wiki Platform Instance (M = 2) (B) Stack Exchanmentioning

confidence: 99%

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Quality Prediction in Collaborative Platforms: A Generic Approach by Heterogeneous Graphs

Robertie

Pitarch

Teste

2016

Lecture Notes in Computer Science

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OATAO is an open access repository that collects the work of Toulouse researchers and makes it freely available over the web where possible. Abstract. As everyone can enrich or rather impoverish crowd-sourcing contents, it is a crucial need to continuously improve automatic quality contents assessment tools. Structural-based analysis methods developed for such quality prediction purposes generally handle a limited or manually fixed number of families of nodes and relations. This lack of genericity prevents existing algorithms for being adaptable to platforms evolutions. In this work, we propose a generic and adaptable algorithm, called HSQ, generalising various state-of-the-art models and allowing the consideration of graphs defined by an arbitrary number of nodes semantics. Evaluations performed over the two representative crowd-sourcing platforms Wikipedia and Stack Exchange state that the consideration of additional nodes semantics and relations improve the performances of state-of-the-art approaches.

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Section: Experiments Resultsmentioning

confidence: 96%

Section: Related Workmentioning

confidence: 99%

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Quality Prediction in Collaborative Platforms: A Generic Approach by Heterogeneous Graphs

Robertie

Pitarch

Teste

2016

Lecture Notes in Computer Science

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“…This creates a general perception of low quality from the research community, in spite of difficulties in actually measuring this ( Hu et al , 2007). However, much of this perception can most likely be explained by a lack of familiarity with the model, and we might expect comfort to increase and attitudes to change with effective training and communications, and increased engagement and understanding of the process ( Xiao & Askin, 2014).…”

Section: Potential Future Modelsmentioning

confidence: 99%

A multi-disciplinary perspective on emergent and future innovations in peer review

et al. 2017

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Peer review of research articles is a core part of our scholarly communication system. In spite of its importance, the status and purpose of peer review is often contested. What is its role in our modern digital research and communications infrastructure? Does it perform to the high standards with which it is generally regarded? Studies of peer review have shown that it is prone to bias and abuse in numerous dimensions, frequently unreliable, and can fail to detect even fraudulent research. With the advent of web technologies, we are now witnessing a phase of innovation and experimentation in our approaches to peer review. These developments prompted us to examine emerging models of peer review from a range of disciplines and venues, and to ask how they might address some of the issues with our current systems of peer review. We examine the functionality of a range of social Web platforms, and compare these with the traits underlying a viable peer review system: quality control, quantified performance metrics as engagement incentives, and certification and reputation. Ideally, any new systems will demonstrate that they out-perform and reduce the biases of existing models as much as possible. We conclude that there is considerable scope for new peer review initiatives to be developed, each with their own potential issues and advantages. We also propose a novel hybrid platform model that could, at least partially, resolve many of the socio-technical issues associated with peer review, and potentially disrupt the entire scholarly communication system. Success for any such development relies on reaching a critical threshold of research community engagement with both the process and the platform, and therefore cannot be achieved without a significant change of incentives in research environments.

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“…It is therefore obvious to look to research work on Wikipedia to see if there are similar issues occurring in terms of: contributor behaviour, editing, etc. Wikipedia has grown to be the world largest and busiest free encyclopedia, in which articles are collaboratively written and maintained by volunteers online (Hu et al, 2007). They suggest for Wikipedia that given it's collaborative nature the "user interaction data" must be analysed with article quality metrics to obtain a good overall understanding of the quality of an article.…”

Section: Overview Of Related Workmentioning

confidence: 99%

Using OSM for LBS – An Analysis of Changes to Attributes of Spatial Objects

Mooney

Corcoran

2012

Advances in Location-Based Services

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Abstract. The quality of volunteered and crowd-sourced spatial data is not in most cases audited prior to being made accessible to end-users. Studies have shown that this spatial data varies significantly in terms of its geometric quality, its semantic consistency, in terms of its comprehensiveness of coverage and in terms of its currency. Subsequently it often compares poorly with the authoritative data capture and mapping undertaken by national mapping agencies and commercial companies. In this paper we highlight a specific type of problem encountered with volunteered geographic information (VGI) -the naming of real-world features. Many Location-based Services (LBS) applications are using VGI as a spatial data source. The volatility in VGI, as shown by the results in this paper, will require LBS developers to carefully consider how they manage and use the spatial data sources generated by VGI and crowd-source paradigms.

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Measuring article quality in wikipedia

Cited by 196 publications

References 20 publications

Quality Prediction in Collaborative Platforms: A Generic Approach by Heterogeneous Graphs

Quality Prediction in Collaborative Platforms: A Generic Approach by Heterogeneous Graphs

A multi-disciplinary perspective on emergent and future innovations in peer review

Using OSM for LBS – An Analysis of Changes to Attributes of Spatial Objects

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