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Quantifying the Digital Traces of Hurricane Sandy on Flickr
Society’s increasing interactions with technology are creating extensive “digital traces” of our collective human behavior. These new data sources are fuelling the rapid development of the new field of computational social science. To investigate user attention to the Hurricane Sandy disaster in 201...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3817451/ https://www.ncbi.nlm.nih.gov/pubmed/24189490 http://dx.doi.org/10.1038/srep03141 |
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author | Preis, Tobias Moat, Helen Susannah Bishop, Steven R. Treleaven, Philip Stanley, H. Eugene |
author_facet | Preis, Tobias Moat, Helen Susannah Bishop, Steven R. Treleaven, Philip Stanley, H. Eugene |
author_sort | Preis, Tobias |
collection | PubMed |
description | Society’s increasing interactions with technology are creating extensive “digital traces” of our collective human behavior. These new data sources are fuelling the rapid development of the new field of computational social science. To investigate user attention to the Hurricane Sandy disaster in 2012, we analyze data from Flickr, a popular website for sharing personal photographs. In this case study, we find that the number of photos taken and subsequently uploaded to Flickr with titles, descriptions or tags related to Hurricane Sandy bears a striking correlation to the atmospheric pressure in the US state New Jersey during this period. Appropriate leverage of such information could be useful to policy makers and others charged with emergency crisis management. |
format | Online Article Text |
id | pubmed-3817451 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-38174512013-11-06 Quantifying the Digital Traces of Hurricane Sandy on Flickr Preis, Tobias Moat, Helen Susannah Bishop, Steven R. Treleaven, Philip Stanley, H. Eugene Sci Rep Article Society’s increasing interactions with technology are creating extensive “digital traces” of our collective human behavior. These new data sources are fuelling the rapid development of the new field of computational social science. To investigate user attention to the Hurricane Sandy disaster in 2012, we analyze data from Flickr, a popular website for sharing personal photographs. In this case study, we find that the number of photos taken and subsequently uploaded to Flickr with titles, descriptions or tags related to Hurricane Sandy bears a striking correlation to the atmospheric pressure in the US state New Jersey during this period. Appropriate leverage of such information could be useful to policy makers and others charged with emergency crisis management. Nature Publishing Group 2013-11-05 /pmc/articles/PMC3817451/ /pubmed/24189490 http://dx.doi.org/10.1038/srep03141 Text en Copyright © 2013, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by/3.0/ This work is licensed under a Creative Commons Attribution 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/3.0/ |
spellingShingle | Article Preis, Tobias Moat, Helen Susannah Bishop, Steven R. Treleaven, Philip Stanley, H. Eugene Quantifying the Digital Traces of Hurricane Sandy on Flickr |
title | Quantifying the Digital Traces of Hurricane Sandy on Flickr |
title_full | Quantifying the Digital Traces of Hurricane Sandy on Flickr |
title_fullStr | Quantifying the Digital Traces of Hurricane Sandy on Flickr |
title_full_unstemmed | Quantifying the Digital Traces of Hurricane Sandy on Flickr |
title_short | Quantifying the Digital Traces of Hurricane Sandy on Flickr |
title_sort | quantifying the digital traces of hurricane sandy on flickr |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3817451/ https://www.ncbi.nlm.nih.gov/pubmed/24189490 http://dx.doi.org/10.1038/srep03141 |
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