title: Quantifying the Search Behaviour of Different Demographics Using Google Correlate.
abstract: 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.
authors.affiliation: Data Science Lab, Behavioural Science, Warwick Business School, University of Warwick, CV4 7AL, Coventry, United Kingdom.
authors.forename: Adrian
authors.initials: A
authors.lastname: Letchford
authors.affiliation: Data Science Lab, Behavioural Science, Warwick Business School, University of Warwick, CV4 7AL, Coventry, United Kingdom.
authors.forename: Tobias
authors.initials: T
authors.lastname: Preis
authors.affiliation: Data Science Lab, Behavioural Science, Warwick Business School, University of Warwick, CV4 7AL, Coventry, United Kingdom.
authors.forename: Helen Susannah
authors.initials: HS
authors.lastname: Moat
mesh_terms: D000818:Animals; D001070:Appetitive Behavior; D002415:Cats; D005260:Female; D006801:Humans; D020407:Internet; D008297:Male; D011247:Pregnancy; D057386:Search Engine