Assessing Information Quality of Wikipedia Articles Through Google’s E-A-T Model

Sugandhika, Chinthani; Ahangama, Supunmali

doi:10.1109/access.2022.3172962

Cited by 3 publications

(1 citation statement)

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“…What is more, news media often polarize around opposite political viewpoints (Patterson, 2011;Sutter, 2000). While previous work has focused on assessing the reliability of Wikipedia contents (Przybyla et al, 2022) and editors' possible biases (Rogers and Sendijarevic, 2012;Yasseri et al, 2013), researchers still have to systematically investigate Wikipedia's knowledge integrity (Wikipedia, 2022;Sugandhika and Ahangama, 2022). We contribute to this line of work by exploring the political polarization of news media sources in Wikipedia.…”

Section: Introductionmentioning

confidence: 99%

Polarization and reliability of news sources in Wikipedia

Yang,

Colavizza

2024

OIR

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PurposeWikipedia's inclusive editorial policy permits unrestricted participation, enabling individuals to contribute and disseminate their expertise while drawing upon a multitude of external sources. News media outlets constitute nearly one-third of all citations within Wikipedia. However, embracing such a radically open approach also poses the challenge of the potential introduction of biased content or viewpoints into Wikipedia. The authors conduct an investigation into the integrity of knowledge within Wikipedia, focusing on the dimensions of source political polarization and trustworthiness. Specifically, the authors delve into the conceivable presence of political polarization within the news media citations on Wikipedia, identify the factors that may influence such polarization within the Wikipedia ecosystem and scrutinize the correlation between political polarization in news media sources and the factual reliability of Wikipedia's content.Design/methodology/approachThe authors conduct a descriptive and regression analysis, relying on Wikipedia Citations, a large-scale open dataset of nearly 30 million citations from English Wikipedia. Additionally, this dataset has been augmented with information obtained from the Media Bias Monitor (MBM) and the Media Bias Fact Check (MBFC).FindingsThe authors find a moderate yet significant liberal bias in the choice of news media sources across Wikipedia. Furthermore, the authors show that this effect persists when accounting for the factual reliability of the news media.Originality/valueThe results contribute to Wikipedia’s knowledge integrity agenda in suggesting that a systematic effort would help to better map potential biases in Wikipedia and find means to strengthen its neutral point of view policy.

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Section: Introductionmentioning

confidence: 99%

Polarization and reliability of news sources in Wikipedia

Yang,

Colavizza

2024

OIR

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Creating Textual Corpora Based on Wikipedia and Knowledge Graphs

Chicaiza,

Martínez-Velásquez,

Soto-Coronel

et al. 2024

Lecture Notes in Networks and Systems

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Automatic Quality Assessment of Wikipedia Articles—A Systematic Literature Review

Moás,

Lopes

2023

ACM Comput. Surv.

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Wikipedia is the world’s largest online encyclopedia, but maintaining article quality through collaboration is challenging. Wikipedia designed a quality scale, but with such a manual assessment process, many articles remain unassessed. We review existing methods for automatically measuring the quality of Wikipedia articles, identifying and comparing machine learning algorithms, article features, quality metrics, and used datasets, examining 149 distinct studies, and exploring commonalities and gaps in them. The literature is extensive, and the approaches follow past technological trends. However, machine learning is still not widely used by Wikipedia, and we hope that our analysis helps future researchers change that reality.

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Assessing Information Quality of Wikipedia Articles Through Google’s E-A-T Model

Cited by 3 publications

References 51 publications

Polarization and reliability of news sources in Wikipedia

Polarization and reliability of news sources in Wikipedia

Creating Textual Corpora Based on Wikipedia and Knowledge Graphs

Automatic Quality Assessment of Wikipedia Articles—A Systematic Literature Review

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