Quality Change: Norm or Exception? Measurement, Analysis and Detection of Quality Change in Wikipedia

Bhanu Prakash Reddy Guda · Sasi Bhushan Seelaboyina · Soumya Sarkar · Animesh Mukherjee

8 citations0/0 files storedProceedings of the ACM on Human-Computer Interaction

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Wikis in Education and Collaboration Mobile Crowdsensing and Crowdsourcing Expert finding and Q&A systems

Abstract

Wikipedia has been turned into an immensely popular crowd-sourced encyclopedia for information dissemination on numerous versatile topics in the form of subscription free content. It allows anyone to contribute so that the articles remain comprehensive and updated. For enrichment of content without compromising standards, the Wikipedia community enumerates a detailed set of guidelines, which should be followed. Based on these, articles are categorized into several quality classes by the Wikipedia editors with increasing adherence to guidelines. This quality assessment task by editors is laborious as well as demands platform expertise. As a first objective, in this paper, we study evolution of a Wikipedia article with respect to such quality scales. Our results show novel non-intuitive patterns emerging from this exploration. As a second objective we attempt to develop an automated data driven approach for the detection of the early signals influencing the quality change of articles. We posit this as a change point detection problem whereby we represent an article as a time series of consecutive revisions and encode every revision by a set of intuitive features. Finally, various change point detection algorithms are used to efficiently and accurately detect the future change points. We also perform various ablation studies to understand which group of features are most effective in identifying the change points. To the best of our knowledge, this is the first work that rigorously explores English Wikipedia article quality life cycle from the perspective of quality indicators and provides a novel unsupervised page level approach to detect quality switch, which can help in automatic content monitoring in Wikipedia thus contributing significantly to the CSCW community.

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References

2014Big Data's Disparate Impact 2012Optimal Detection of Changepoints With a Linear Computational Cost 2019Selective review of offline change point detection methods 2016A survey of methods for time series change point detection 1955A Test for a Change in a Parameter Occurring at an Unknown Point 2008Harnessing the wisdom of crowds in wikipedia 2007He says, she says 2013A Nonparametric Approach for Multiple Change Point Analysis of Multivariate Data

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