Age and Gender Stereotypes Reflected in Google’s “Autocomplete” Function: The Portrayal and Possible Spread of Societal Stereotypes

Author:

Roy SenjootiORCID,Ayalon Liat1ORCID

Affiliation:

1. Louis and Gabi Weisfeld School of Social Work, Bar-Ilan University, Ramat Gan, Israel

Abstract

Abstract Background and Objectives Google’s autocomplete function provides “predictors” to enable quick completion of intended search terms. The predictors reflect the search trends of a population; they capture societal beliefs and perceptions about a variety of subjects. This study explores the predictors provided by Google United States when searching for information about older men and women. Research Design and Methods The Google search engine of the United States was used to record predictors in response to 720 search terms. Inductive content analysis method was used to categorize and interpret the results. Results There was prevalence of age and gender stereotypes in the predictors offered by Google. Queries about older men were primarily associated with romance and sexuality whereas those for older women centered on changes in the body as well as sexual and reproductive health. Discussion and Implications The appearance of such predictors in response to a potential search query may lead to the spread of harmful stereotypes about older adults.

Funder

MascAge Gendering Age: Representations of Masculinities and Ageing in Contemporary European Literatures and Cinemas

European Union’s Horizon 2020

Publisher

Oxford University Press (OUP)

Subject

Geriatrics and Gerontology,Gerontology,General Medicine

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