Quantifying the Search Behaviour of Different Demographics Using Google Correlate.

Autor:	Letchford A; Data Science Lab, Behavioural Science, Warwick Business School, University of Warwick, CV4 7AL, Coventry, United Kingdom., Preis T; Data Science Lab, Behavioural Science, Warwick Business School, University of Warwick, CV4 7AL, Coventry, United Kingdom., Moat HS; Data Science Lab, Behavioural Science, Warwick Business School, University of Warwick, CV4 7AL, Coventry, United Kingdom.
Jazyk:	angličtina
Zdroj:	PloS one [PLoS One] 2016 Feb 24; Vol. 11 (2), pp. e0149025. Date of Electronic Publication: 2016 Feb 24 (Print Publication: 2016).
DOI:	10.1371/journal.pone.0149025
Abstrakt:	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:	MEDLINE
Externí odkaz:	Zobrazit plný text záznamu Plný text ve formátu PDF