Hill, RL orcid.org/0000-0003-0099-4116 (2017) The political potential of numbers: data visualisation in the abortion debate. Women, Gender and Research, 1. ISSN 0907-6182
Abstract
Data visualisation has been argued to have the power to ‘change the world’, implicitly for the better, but when it comes to abortion, both sides make moral claims to ‘good’. Visualisation conventions of clean lines and shapes simplify data, lending them a rhetoric of neutrality, as if the data is the whole story. It is imperative, therefore, to examine how data visualisations are used to shape women’s lives. This article draws on the findings of the Persuasive Data project . Google Image Scraper was used to locate abortion-related visualisations circulating online. The images, their web locations, and data use were social semiotically analysed to understand their visual rhetoric and political use. Anti-abortion groups are more likely to use data visualisation than pro-choice groups, thereby simplifying the issue and mobilising the rhetoric of neutrality. I argue that data visualisations are being used as a hindrance to women’s access to abortion, and that the critique of such visualisations needs to come from feminists. This article extends discussions of how data is often reified as objective, by showing how the rhetoric of objectivity within data visualisation conventions is harnessed to do work in the world that is potentially very damaging to women’s rights.
Metadata
Item Type: | Article |
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Authors/Creators: | |
Copyright, Publisher and Additional Information: | This is an author produced version of a paper published in Women, Gender and Research. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | abortion; data activism; data visualisation; feminism; pro-choice |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Education, Social Sciences and Law (Leeds) > School of Sociology and Social Policy (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 04 Jul 2017 14:34 |
Last Modified: | 23 Jan 2018 15:38 |
Published Version: | https://tidsskrift.dk/KKF/issue/view/6751 |
Status: | Published |
Publisher: | University of Copenhagen |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:118537 |