Quantifying the search behaviour of different demographics using Google Correlate
| Autor: | Helen Susannah Moat, Adrian Letchford, Tobias Preis |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Male
0301 basic medicine lcsh:Medicine Surveys Pregnancy Medicine Computer Networks lcsh:Science Mammals Appetitive Behavior Multidisciplinary Mortality rate 3. Good health Research Design Vertebrates Female The Internet InformationSystems_MISCELLANEOUS Infants Research Article Computer and Information Sciences Demographics Death Rates education Research and Analysis Methods Birth rate QA76 03 medical and health sciences Population Metrics Animals Humans Demography Internet Behavior Survey Research Population Biology business.industry lcsh:R Organisms Biology and Life Sciences Birth Rates medicine.disease Infant mortality Search Engine 030104 developmental biology Age Groups People and Places Cats lcsh:Q Population Groupings business |
| Zdroj: | PLoS ONE PLoS ONE, Vol 11, Iss 2, p e0149025 (2016) |
| ISSN: | 1932-6203 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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