Bias and representativeness in digitized newspaper collections: Introducing the environmental scan

Author:

Beelen Kaspar1ORCID,Lawrence Jon2ORCID,Wilson Daniel C S3ORCID,Beavan David3

Affiliation:

1. The Alan Turing Institute, UK

2. Department of History, University of Exeter , UK

3. The Alan Turing Institute , UK

Abstract

Abstract This article introduces the ‘Environmental Scan’ as answer to the question of hidden biases in digital heritage collections. Its substantive focus is digitized nineteenth-century British provincial newspapers, and in particular the JISC corpus, a popular, publicly-funded resource for scholars. While multiple papers have meticulously investigated the genesis of such newspaper collections, in the process highlighting the often unacknowledged politics of collection, preservation and dissemination via microfilm and now digitization, our aim is to explore questions of representativeness and bias in new ways by enriching computational analysis of digital corpora with the historical insights that can be derived from a contemporaneous reference source: namely, the Victorian newspaper press directories.

Funder

UK Research and Innovation

Strategic Priority Fund

Arts and Humanities Research Council

AHRC

The Alan Turing Institute

Universities of Cambridge, East Anglia, Exeter, and Queen Mary University of London

Publisher

Oxford University Press (OUP)

Subject

Computer Science Applications,Linguistics and Language,Language and Linguistics,Information Systems

Reference40 articles.

1. Representativeness in corpus design;Biber;Literary and Linguistic Computing,1993

2. Fictional systems: Mass-digitization, network analysis, and nineteenth-century Australian newspapers;Bode;Victorian Period Review,2017

3. Why you can’t model away bias;Bode;Modern Language Quarterly,2020

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3