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Accountability work: Examining the values, technologies and work practices that facilitate transparency in Charities

Lookup NU author(s): Matt Marshall, Professor John Vines, Emeritus Professor Pete Wright, Professor Dave KirkORCiD, Dr Toby Lowe, Professor Rob WilsonORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

© 2018 Copyright held by the owner/author(s). Charities are subject to stringent transparency and accountability requirements from government and funders to ensure that they are conducting work and spending money appropriately. Charities are increasingly important to civic life and have unique characteristics as organisations. This provides a rich space in which HCI researchers may learn from and affect both held notions of transparency and accountability, and the relationships between these organisations and their stakeholders. We conducted ethnographic fieldwork and workshops over a seven month period at a charity. We aimed to understand how the transparency obligations of a charity manifest through work and how the workers of a charity reason about transparency and accountability as an everyday practice. Our findings highlight how organisations engage in presenting different accounts of their work; how workers view their legal transparency obligations in contrast with their accountability to their everyday community; and how their labour does not translate well to outcome measures or metrics. We discuss implications for the design of future systems that support organisations to produce accounts of their work as part of everyday practice.


Publication metadata

Author(s): Marshall M, Vines J, Wright P, Kirk DS, Lowe T, Wilson R

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: Conference on Human Factors in Computing Systems - Proceedings

Year of Conference: 2018

Online publication date: 21/04/2018

Acceptance date: 02/04/2018

Date deposited: 27/06/2018

Publisher: Association for Computing Machinery

URL: https://doi.org/10.1145/3173574.3173849

DOI: 10.1145/3173574.3173849

Data Access Statement: http://dx.doi.org/10.17634/154300-63

Library holdings: Search Newcastle University Library for this item

ISBN: 9781450356206


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