A Statistical Approach to Provide Individualized Privacy for Surveys.

A Statistical Approach to Provide Individualized Privacy for Surveys.

In this paper we propose an instrument for collecting sensitive data that allows for each participant to customize the amount of information that she is comfortable revealing. Current methods adopt a uniform approach where all subjects are afforded the same privacy guarantees; however, privacy is a...

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Main Authors: Fernando Esponda, Kael Huerta, Victor M Guerrero
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2016-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4732602?pdf=render
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spelling doaj-48d0eca0c0fa474cb692c9ce53acef9f2020-11-25T00:25:36ZengPublic Library of Science (PLoS)PLoS ONE1932-62032016-01-01111e014731410.1371/journal.pone.0147314A Statistical Approach to Provide Individualized Privacy for Surveys.Fernando EspondaKael HuertaVictor M GuerreroIn this paper we propose an instrument for collecting sensitive data that allows for each participant to customize the amount of information that she is comfortable revealing. Current methods adopt a uniform approach where all subjects are afforded the same privacy guarantees; however, privacy is a highly subjective property with intermediate points between total disclosure and non-disclosure: each respondent has a different criterion regarding the sensitivity of a particular topic. The method we propose empowers respondents in this respect while still allowing for the discovery of interesting findings through the application of well-known inferential procedures.http://europepmc.org/articles/PMC4732602?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Fernando Esponda
Kael Huerta
Victor M Guerrero
spellingShingle Fernando Esponda
Kael Huerta
Victor M Guerrero
A Statistical Approach to Provide Individualized Privacy for Surveys.
PLoS ONE
author_facet Fernando Esponda
Kael Huerta
Victor M Guerrero
author_sort Fernando Esponda
title A Statistical Approach to Provide Individualized Privacy for Surveys.
title_short A Statistical Approach to Provide Individualized Privacy for Surveys.
title_full A Statistical Approach to Provide Individualized Privacy for Surveys.
title_fullStr A Statistical Approach to Provide Individualized Privacy for Surveys.
title_full_unstemmed A Statistical Approach to Provide Individualized Privacy for Surveys.
title_sort statistical approach to provide individualized privacy for surveys.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2016-01-01
description In this paper we propose an instrument for collecting sensitive data that allows for each participant to customize the amount of information that she is comfortable revealing. Current methods adopt a uniform approach where all subjects are afforded the same privacy guarantees; however, privacy is a highly subjective property with intermediate points between total disclosure and non-disclosure: each respondent has a different criterion regarding the sensitivity of a particular topic. The method we propose empowers respondents in this respect while still allowing for the discovery of interesting findings through the application of well-known inferential procedures.
url http://europepmc.org/articles/PMC4732602?pdf=render
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AT kaelhuerta astatisticalapproachtoprovideindividualizedprivacyforsurveys
AT victormguerrero astatisticalapproachtoprovideindividualizedprivacyforsurveys
AT fernandoesponda statisticalapproachtoprovideindividualizedprivacyforsurveys
AT kaelhuerta statisticalapproachtoprovideindividualizedprivacyforsurveys
AT victormguerrero statisticalapproachtoprovideindividualizedprivacyforsurveys
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