TY – JOUR
T1 – “Why do white people have thin lips?”
You are viewing: Why Don’t White People Have Lips
T2 – Google and the perpetuation of stereotypes via auto-complete search forms
AU – Baker, Paul
AU – Potts, Amanda
PY – 2013
Y1 – 2013
N2 – This study highlights how the auto-complete search algorithm offered by the search tool Google can produce suggested terms which could be viewed as racist, sexist or homophobic. Google was interrogated by entering different combinations of question words and identity terms such as ‘why are blacks…’ in order to elicit auto-completed questions. Two thousand, six hundred and ninety questions were elicited and then categorised according to the qualities they referenced. Certain identity groups were found to attract particular stereotypes or qualities. For example, Muslims and Jewish people were linked to questions about aspects of their appearance or behaviour, while white people were linked to questions about their sexual attitudes. Gay and black identities appeared to attract higher numbers of questions that were negatively stereotyping. The article concludes by questioning the extent to which such algorithms inadvertently help to perpetuate negative stereotypes.
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AB – This study highlights how the auto-complete search algorithm offered by the search tool Google can produce suggested terms which could be viewed as racist, sexist or homophobic. Google was interrogated by entering different combinations of question words and identity terms such as ‘why are blacks…’ in order to elicit auto-completed questions. Two thousand, six hundred and ninety questions were elicited and then categorised according to the qualities they referenced. Certain identity groups were found to attract particular stereotypes or qualities. For example, Muslims and Jewish people were linked to questions about aspects of their appearance or behaviour, while white people were linked to questions about their sexual attitudes. Gay and black identities appeared to attract higher numbers of questions that were negatively stereotyping. The article concludes by questioning the extent to which such algorithms inadvertently help to perpetuate negative stereotypes.
KW – discourse analysis
KW – google
KW – stereotypes
KW – Linguistics & English Language
U2 – 10.1080/17405904.2012.744320
DO – 10.1080/17405904.2012.744320
M3 – Journal article
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VL – 10
SP – 187
EP – 204
JO – Critical Discourse Studies
JF – Critical Discourse Studies
SN – 1740-5904
IS – 2
ER –
Source: https://t-tees.com
Category: WHY
