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Quantifying the Search Behaviour of Different Demographics Using Google Correlate

Vast records of our everyday interests and concerns are being generated by our frequent interactions with the Internet. Here, we investigate how the searches of Google users vary across U.S. states with different birth rates and infant mortality rates. We find that users in states with higher birth...

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Detalles Bibliográficos
Autores principales: Letchford, Adrian, Preis, Tobias, Moat, Helen Susannah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4766235/
https://www.ncbi.nlm.nih.gov/pubmed/26910464
http://dx.doi.org/10.1371/journal.pone.0149025
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author Letchford, Adrian
Preis, Tobias
Moat, Helen Susannah
author_facet Letchford, Adrian
Preis, Tobias
Moat, Helen Susannah
author_sort Letchford, Adrian
collection PubMed
description Vast records of our everyday interests and concerns are being generated by our frequent interactions with the Internet. Here, we investigate how the searches of Google users vary across U.S. states with different birth rates and infant mortality rates. We find that users in states with higher birth rates search for more information about pregnancy, while those in states with lower birth rates search for more information about cats. Similarly, we find that users in states with higher infant mortality rates search for more information about credit, loans and diseases. Our results provide evidence that Internet search data could offer new insight into the concerns of different demographics.
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spelling pubmed-47662352016-02-26 Quantifying the Search Behaviour of Different Demographics Using Google Correlate Letchford, Adrian Preis, Tobias Moat, Helen Susannah PLoS One Research Article Vast records of our everyday interests and concerns are being generated by our frequent interactions with the Internet. Here, we investigate how the searches of Google users vary across U.S. states with different birth rates and infant mortality rates. We find that users in states with higher birth rates search for more information about pregnancy, while those in states with lower birth rates search for more information about cats. Similarly, we find that users in states with higher infant mortality rates search for more information about credit, loans and diseases. Our results provide evidence that Internet search data could offer new insight into the concerns of different demographics. Public Library of Science 2016-02-24 /pmc/articles/PMC4766235/ /pubmed/26910464 http://dx.doi.org/10.1371/journal.pone.0149025 Text en © 2016 Letchford et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://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
Letchford, Adrian
Preis, Tobias
Moat, Helen Susannah
Quantifying the Search Behaviour of Different Demographics Using Google Correlate
title Quantifying the Search Behaviour of Different Demographics Using Google Correlate
title_full Quantifying the Search Behaviour of Different Demographics Using Google Correlate
title_fullStr Quantifying the Search Behaviour of Different Demographics Using Google Correlate
title_full_unstemmed Quantifying the Search Behaviour of Different Demographics Using Google Correlate
title_short Quantifying the Search Behaviour of Different Demographics Using Google Correlate
title_sort quantifying the search behaviour of different demographics using google correlate
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4766235/
https://www.ncbi.nlm.nih.gov/pubmed/26910464
http://dx.doi.org/10.1371/journal.pone.0149025
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