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Social media interventions for precision public health: promises and risks
Social media data can be used with digital phenotyping tools to profile the attitudes, behaviours, and health outcomes of people. While there are a growing number of examples demonstrating the performance of digital phenotyping tools using social media data, little is known about their capacity to s...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6402501/ https://www.ncbi.nlm.nih.gov/pubmed/30854472 http://dx.doi.org/10.1038/s41746-018-0054-0 |
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author | Dunn, Adam G. Mandl, Kenneth D. Coiera, Enrico |
author_facet | Dunn, Adam G. Mandl, Kenneth D. Coiera, Enrico |
author_sort | Dunn, Adam G. |
collection | PubMed |
description | Social media data can be used with digital phenotyping tools to profile the attitudes, behaviours, and health outcomes of people. While there are a growing number of examples demonstrating the performance of digital phenotyping tools using social media data, little is known about their capacity to support the delivery of targeted and personalised behaviour change interventions to improve health. Similar tools are already used in marketing and politics, using individual profiling to manipulate purchasing and voting behaviours. The coupling of digital phenotyping tools and behaviour change interventions may play a more positive role in preventive medicine to improve health behaviours, but potential risks and unintended consequences may come from embedding behavioural interventions in social spaces. |
format | Online Article Text |
id | pubmed-6402501 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-64025012019-03-06 Social media interventions for precision public health: promises and risks Dunn, Adam G. Mandl, Kenneth D. Coiera, Enrico NPJ Digit Med Perspective Social media data can be used with digital phenotyping tools to profile the attitudes, behaviours, and health outcomes of people. While there are a growing number of examples demonstrating the performance of digital phenotyping tools using social media data, little is known about their capacity to support the delivery of targeted and personalised behaviour change interventions to improve health. Similar tools are already used in marketing and politics, using individual profiling to manipulate purchasing and voting behaviours. The coupling of digital phenotyping tools and behaviour change interventions may play a more positive role in preventive medicine to improve health behaviours, but potential risks and unintended consequences may come from embedding behavioural interventions in social spaces. Nature Publishing Group UK 2018-09-19 /pmc/articles/PMC6402501/ /pubmed/30854472 http://dx.doi.org/10.1038/s41746-018-0054-0 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Perspective Dunn, Adam G. Mandl, Kenneth D. Coiera, Enrico Social media interventions for precision public health: promises and risks |
title | Social media interventions for precision public health: promises and risks |
title_full | Social media interventions for precision public health: promises and risks |
title_fullStr | Social media interventions for precision public health: promises and risks |
title_full_unstemmed | Social media interventions for precision public health: promises and risks |
title_short | Social media interventions for precision public health: promises and risks |
title_sort | social media interventions for precision public health: promises and risks |
topic | Perspective |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6402501/ https://www.ncbi.nlm.nih.gov/pubmed/30854472 http://dx.doi.org/10.1038/s41746-018-0054-0 |
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