2019
DOI: 10.1093/geront/gnz172
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Age and Gender Stereotypes Reflected in Google’s “Autocomplete” Function: The Portrayal and Possible Spread of Societal Stereotypes

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… Show more

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Cited by 19 publications
(22 citation statements)
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“…Though designed to predict users' search interest, based on the previous literature, GA may influence a user's thoughts, views, and beliefs (Roy & Ayalon, 2020). It can be argued that Google would otherwise not put such an effort into preventing certain GA predictions from being displayed.…”
Section: Google Autocomplete (Ga)mentioning
confidence: 99%
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“…Though designed to predict users' search interest, based on the previous literature, GA may influence a user's thoughts, views, and beliefs (Roy & Ayalon, 2020). It can be argued that Google would otherwise not put such an effort into preventing certain GA predictions from being displayed.…”
Section: Google Autocomplete (Ga)mentioning
confidence: 99%
“…1026)." GA thus captures, reflects, and amplifies a population's interests and may thus influence society's perceptions and beliefs (Roy & Ayalon, 2020). GA may act as a subtle yet useful looking glass reflecting trending phrases generated by members of society, thus allowing researchers to gain insight into individual or group perceptions and beliefs to understand what COVID-19 CRT exist and how they are spread.…”
Section: Introductionmentioning
confidence: 99%
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“…In the same vein, Roy and Ayalon (2019) carried out a similar study to investigate how the predictors provided by the Google United States can reflect age and gender stereotypes when searching for information about older men and women. The study followed an inductive content analysis to categorize and interpret predictors in response to a number of search terms.…”
Section: Introductionmentioning
confidence: 99%
“…As discussed above, different scholars have explored online discourse to reveal stereotypes about certain groups (see Baker & Potts, 2013;Roy & Ayalon, 2019). However, little or no attention has so far been paid to technological affordances to reveal broader gender biases and stereotypes in the Arab World to the best of the researchers' knowledge.…”
Section: Introductionmentioning
confidence: 99%