Cargando…
Unpacking privacy: Valuation of personal data protection
Information about individual behaviour is collected regularly by organisations. This information has value to businesses, the government and third parties. It is not clear what value this personal data has to consumers themselves. Much of the modern economy is predicated on people sharing personal d...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10156004/ https://www.ncbi.nlm.nih.gov/pubmed/37134067 http://dx.doi.org/10.1371/journal.pone.0284581 |
_version_ | 1785036449097187328 |
---|---|
author | Skatova, Anya McDonald, Rebecca Ma, Sinong Maple, Carsten |
author_facet | Skatova, Anya McDonald, Rebecca Ma, Sinong Maple, Carsten |
author_sort | Skatova, Anya |
collection | PubMed |
description | Information about individual behaviour is collected regularly by organisations. This information has value to businesses, the government and third parties. It is not clear what value this personal data has to consumers themselves. Much of the modern economy is predicated on people sharing personal data, however if individuals value their privacy, they may choose to withhold this data unless the perceived benefits of sharing outweigh the perceived value of keeping the data private. One technique to assess how much individuals value their privacy is to ask them whether they might be willing to pay for an otherwise free service if paying allowed them to avoid sharing personal data. Our research extends previous work on factors affecting individuals’ decisions about whether to share personal data. We take an experimental approach and focus on whether consumers place a positive value on protecting their data by examining their willingness to share personal data in a variety of data sharing environments. Using five evaluation techniques, we systematically investigate whether members of the public value keeping their personal data private. We show that the extent to which participants value protecting their information differs by data type, suggesting there is no simple function to assign a value for individual privacy. The majority of participants displayed remarkable consistency in their rankings of the importance of different types of data through a variety of elicitation procedures, a finding consistent with the existence of stable individual privacy preferences in protecting personal data. We discuss our findings in the context of research on the value of privacy and privacy preferences. |
format | Online Article Text |
id | pubmed-10156004 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-101560042023-05-04 Unpacking privacy: Valuation of personal data protection Skatova, Anya McDonald, Rebecca Ma, Sinong Maple, Carsten PLoS One Research Article Information about individual behaviour is collected regularly by organisations. This information has value to businesses, the government and third parties. It is not clear what value this personal data has to consumers themselves. Much of the modern economy is predicated on people sharing personal data, however if individuals value their privacy, they may choose to withhold this data unless the perceived benefits of sharing outweigh the perceived value of keeping the data private. One technique to assess how much individuals value their privacy is to ask them whether they might be willing to pay for an otherwise free service if paying allowed them to avoid sharing personal data. Our research extends previous work on factors affecting individuals’ decisions about whether to share personal data. We take an experimental approach and focus on whether consumers place a positive value on protecting their data by examining their willingness to share personal data in a variety of data sharing environments. Using five evaluation techniques, we systematically investigate whether members of the public value keeping their personal data private. We show that the extent to which participants value protecting their information differs by data type, suggesting there is no simple function to assign a value for individual privacy. The majority of participants displayed remarkable consistency in their rankings of the importance of different types of data through a variety of elicitation procedures, a finding consistent with the existence of stable individual privacy preferences in protecting personal data. We discuss our findings in the context of research on the value of privacy and privacy preferences. Public Library of Science 2023-05-03 /pmc/articles/PMC10156004/ /pubmed/37134067 http://dx.doi.org/10.1371/journal.pone.0284581 Text en © 2023 Skatova et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Skatova, Anya McDonald, Rebecca Ma, Sinong Maple, Carsten Unpacking privacy: Valuation of personal data protection |
title | Unpacking privacy: Valuation of personal data protection |
title_full | Unpacking privacy: Valuation of personal data protection |
title_fullStr | Unpacking privacy: Valuation of personal data protection |
title_full_unstemmed | Unpacking privacy: Valuation of personal data protection |
title_short | Unpacking privacy: Valuation of personal data protection |
title_sort | unpacking privacy: valuation of personal data protection |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10156004/ https://www.ncbi.nlm.nih.gov/pubmed/37134067 http://dx.doi.org/10.1371/journal.pone.0284581 |
work_keys_str_mv | AT skatovaanya unpackingprivacyvaluationofpersonaldataprotection AT mcdonaldrebecca unpackingprivacyvaluationofpersonaldataprotection AT masinong unpackingprivacyvaluationofpersonaldataprotection AT maplecarsten unpackingprivacyvaluationofpersonaldataprotection |