Does it matter who contributes

Stein, Klaus; Heß, Claudia

doi:10.1145/1286240.1286290

Cited by 52 publications

(5 citation statements)

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“…Article-editor dependencies have also been explored. For example, Stein and Hess (2007) use the authority of editors to measure the quality of Wikipedia articles, where the authority of editors is determined by the quality of articles they edit.…”

Section: Wikipedia Article Quality Assessmentmentioning

confidence: 99%

A General Approach to Multimodal Document Quality Assessment

Shen¹,

Salehi²,

Qi³

et al. 2020

jair

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The perceived quality of a document is affected by various factors, including grammat- icality, readability, stylistics, and expertise depth, making the task of document quality assessment a complex one. In this paper, we explore this task in the context of assessing the quality of Wikipedia articles and academic papers. Observing that the visual rendering of a document can capture implicit quality indicators that are not present in the document text — such as images, font choices, and visual layout — we propose a joint model that combines the text content with a visual rendering of the document for document qual- ity assessment. Our joint model achieves state-of-the-art results over five datasets in two domains (Wikipedia and academic papers), which demonstrates the complementarity of textual and visual features, and the general applicability of our model. To examine what kinds of features our model has learned, we further train our model in a multi-task learning setting, where document quality assessment is the primary task and feature learning is an auxiliary task. Experimental results show that visual embeddings are better at learning structural features while textual embeddings are better at learning readability scores, which further verifies the complementarity of visual and textual features.

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Section: Wikipedia Article Quality Assessmentmentioning

confidence: 99%

A General Approach to Multimodal Document Quality Assessment

Shen¹,

Salehi²,

Qi³

et al. 2020

jair

View full text Add to dashboard Cite

show abstract

“…A similar work aimed to demonstrate that the experience in editing high quality articles may be a factor that affects an article's quality. Stein & Hess (2007) have shown that articles in German Wikipedia that are of the highest quality had a significantly higher percentage of individuals with experience in editing high quality articles. Their findings indicated that articles benefit when individuals experienced in editing high quality articles contribute in the early stages of an article's life.…”

Section: Quality Of Collaborative Outcomementioning

confidence: 99%

Personal communication networks and their positive effects on online collaboration and outcome quality on Wikipedia

Tsikerdekis

2015

Asso for Info Science & Tech

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Online collaborative projects have been utilized in a variety of ways over the past decade such as bringing people together to build open source software or developing the world's largest free encyclopedia. Personal communication networks as a feature do not exist in all collaborative 2 projects. It is currently unclear if a designer's decision to include a personal communication network in a collaborative project's structure affects outcome quality. In this study, I investigated Wikipedia's personal communication network and analyzed which Wikipedia editors are utilizing it and how they are connected to outcome quality. Evidence suggests that people that utilize these networks are more experienced in editing high quality articles and are more integrated in the community. Additionally, these individuals utilize the personal communication network for coordinating and perhaps mentoring editors who edit lower quality articles. The value of these networks is demonstrated by the characteristics of the users who utilize them. These findings indicate that designers of online collaborative projects can help improve the quality of outcomes in these projects by deciding to implement a personal communication network in their communities.

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“…Stein and Hess [32] show that in the German Wikipedia the quality of contributions is connected to the reputation of participants. The ability to uniquely identity and assess participants inputs in a collective based on their past actions or perceived domain knowledge in the system, is a factor in measuring the trust and reputation of the collective output 2 .…”

Section: Provenance Trust and Reputation In Collective Adaptive Systemsmentioning

confidence: 99%