Work

So Everything is Biased… Now What?!

Year: 2025

Type: article

Abstract: As the Digital Humanities increasingly rely on computational methods—from handwritten text recognition to automated metadata extraction—addressing bias becomes both more urgent and more complex. This paper introduces the Bias-Aware Framework, a research framework that transforms bias from a paralyzing problem into an analytical category with clear action points. The framework consists of three key components: (1) a Bias Thesaurus (2) a Data Lifecycle Model, and (3) Guidelines for documenting, describing, and mitigating bias.

Source: KNAW Research Portal (The Royal Netherlands Academy of Arts and Sciences)

DOI: 10.5281/zenodo.15614857

Authors: Luthra, Mrinalini, Zijlma, Amber

Institutions: Royal Netherlands Academy of Arts and Sciences, Huygens Institute for History and Culture of the Netherlands

Language: English

Topic: Digital Humanities and Scholarship

Subfield: Literature and Literary Theory

Field: Arts and Humanities

Domain: Social Sciences

SDG: Reduced inequalities

Open Access status: green

Funder: Nederlandse Organisatie voor Wetenschappelijk Onderzoek