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How can we better use Twitter to find a person who got lost due to dementia?
Twitter is a social media platform for online message sharing. The aim of this study is to evaluate the effectiveness of using Twitter to search for people who got lost due to dementia. The online messages on Twitter, i.e., tweets, were collected through an Application Programming Interface. Content...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6550184/ https://www.ncbi.nlm.nih.gov/pubmed/31304299 http://dx.doi.org/10.1038/s41746-018-0017-5 |
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author | Tsoi, Kelvin K. F. Chan, Nicholas B. Chan, Felix C. H. Zhang, Lingling Lee, Annisa C. H. Meng, Helen M. L. |
author_facet | Tsoi, Kelvin K. F. Chan, Nicholas B. Chan, Felix C. H. Zhang, Lingling Lee, Annisa C. H. Meng, Helen M. L. |
author_sort | Tsoi, Kelvin K. F. |
collection | PubMed |
description | Twitter is a social media platform for online message sharing. The aim of this study is to evaluate the effectiveness of using Twitter to search for people who got lost due to dementia. The online messages on Twitter, i.e., tweets, were collected through an Application Programming Interface. Contents of the tweets were analysed. The personal characteristics, features of tweets and types of Twitter users were collected to investigate their associations with whether a person can be found within a month. Logistic regression was used to identify the features that were useful in finding the missing people. Results showed that the young age of the persons with dementia who got lost, having tweets posted by police departments, and having tweets with photos can increase the chance of being found. Social media is reshaping the human communication pathway, which may lead to future needs on a new patient-care model. |
format | Online Article Text |
id | pubmed-6550184 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-65501842019-07-12 How can we better use Twitter to find a person who got lost due to dementia? Tsoi, Kelvin K. F. Chan, Nicholas B. Chan, Felix C. H. Zhang, Lingling Lee, Annisa C. H. Meng, Helen M. L. NPJ Digit Med Article Twitter is a social media platform for online message sharing. The aim of this study is to evaluate the effectiveness of using Twitter to search for people who got lost due to dementia. The online messages on Twitter, i.e., tweets, were collected through an Application Programming Interface. Contents of the tweets were analysed. The personal characteristics, features of tweets and types of Twitter users were collected to investigate their associations with whether a person can be found within a month. Logistic regression was used to identify the features that were useful in finding the missing people. Results showed that the young age of the persons with dementia who got lost, having tweets posted by police departments, and having tweets with photos can increase the chance of being found. Social media is reshaping the human communication pathway, which may lead to future needs on a new patient-care model. Nature Publishing Group UK 2018-04-18 /pmc/articles/PMC6550184/ /pubmed/31304299 http://dx.doi.org/10.1038/s41746-018-0017-5 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 | Article Tsoi, Kelvin K. F. Chan, Nicholas B. Chan, Felix C. H. Zhang, Lingling Lee, Annisa C. H. Meng, Helen M. L. How can we better use Twitter to find a person who got lost due to dementia? |
title | How can we better use Twitter to find a person who got lost due to dementia? |
title_full | How can we better use Twitter to find a person who got lost due to dementia? |
title_fullStr | How can we better use Twitter to find a person who got lost due to dementia? |
title_full_unstemmed | How can we better use Twitter to find a person who got lost due to dementia? |
title_short | How can we better use Twitter to find a person who got lost due to dementia? |
title_sort | how can we better use twitter to find a person who got lost due to dementia? |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6550184/ https://www.ncbi.nlm.nih.gov/pubmed/31304299 http://dx.doi.org/10.1038/s41746-018-0017-5 |
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