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Open Access
Article
Publication date: 18 January 2024

Puyu Yang and Giovanni Colavizza

Wikipedia's inclusive editorial policy permits unrestricted participation, enabling individuals to contribute and disseminate their expertise while drawing upon a multitude of…

1061

Abstract

Purpose

Wikipedia'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/approach

The 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).

Findings

The 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/value

The 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.

Details

Online Information Review, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1468-4527

Keywords

Article
Publication date: 31 January 2023

Mrinalini Luthra, Konstantin Todorov, Charles Jeurgens and Giovanni Colavizza

This paper aims to expand the scope and mitigate the biases of extant archival indexes.

Abstract

Purpose

This paper aims to expand the scope and mitigate the biases of extant archival indexes.

Design/methodology/approach

The authors use automatic entity recognition on the archives of the Dutch East India Company to extract mentions of underrepresented people.

Findings

The authors release an annotated corpus and baselines for a shared task and show that the proposed goal is feasible.

Originality/value

Colonial archives are increasingly a focus of attention for historians and the public, broadening access to them is a pressing need for archives.

Details

Journal of Documentation, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0022-0418

Keywords

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