Examining racial stereotypes in YouTube autocomplete suggestions

Autocomplete is a popular search feature that predicts queries based on user input and guides users to a set of potentially relevant suggestions. In this study, we examine what YouTube autocompletes suggest to users seeking information about race on the platform. Specifically, we perform an algorith...

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Veröffentlicht in:New media & society
Hauptverfasser: Ha, Eunbin, Kong, Haein, Jhaver, Shagun
Format: Journal Article
Sprache:Englisch
Veröffentlicht: 26.06.2025
ISSN:1461-4448, 1461-7315
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Abstract Autocomplete is a popular search feature that predicts queries based on user input and guides users to a set of potentially relevant suggestions. In this study, we examine what YouTube autocompletes suggest to users seeking information about race on the platform. Specifically, we perform an algorithm output audit of autocomplete suggestions for input queries about four racial groups and examine the stereotypes they embody. Using critical discourse analysis, we identify five major sociocultural contexts in which racial information appears – Appearance , Ability , Culture , Social Equity , and Manner . We found that the participatory nature of YouTube produces a multifaceted representation of race-related content in its search outputs, characterized by enduring historical biases, aggregated discrimination, and interracial tensions, while simultaneously depicting minority resistance and aspirations of a post-racial society. We call for innovations in content moderation policy design and enforcement to address existing racial harms in YouTube search outputs.
AbstractList Autocomplete is a popular search feature that predicts queries based on user input and guides users to a set of potentially relevant suggestions. In this study, we examine what YouTube autocompletes suggest to users seeking information about race on the platform. Specifically, we perform an algorithm output audit of autocomplete suggestions for input queries about four racial groups and examine the stereotypes they embody. Using critical discourse analysis, we identify five major sociocultural contexts in which racial information appears – Appearance , Ability , Culture , Social Equity , and Manner . We found that the participatory nature of YouTube produces a multifaceted representation of race-related content in its search outputs, characterized by enduring historical biases, aggregated discrimination, and interracial tensions, while simultaneously depicting minority resistance and aspirations of a post-racial society. We call for innovations in content moderation policy design and enforcement to address existing racial harms in YouTube search outputs.
Author Jhaver, Shagun
Ha, Eunbin
Kong, Haein
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Cites_doi 10.5040/9781350325234
10.2307/2111769
10.1515/humr.1989.2.2.165
10.18574/nyu/9781479833641.001.0001
10.1177/20539517231176228
10.1177/1461444813506972
10.1111/j.1467-8721.2009.01662.x
10.18574/nyu/9780814762899.001.0001
10.2307/2962640
10.4135/9781529782943.n45
10.1080/0141987042000268503
10.1093/geront/gnz172
10.1145/3338243
10.2307/3033707
10.1093/ijlit/eav009
10.1016/j.tele.2023.102068
10.5771/9780739145210
10.1177/019685999602000204
10.1037/0022-3514.66.1.5
10.1145/2702123.2702520
10.14722/ndss.2018.23036
10.1177/1461444819854731
10.17576/gema-2020-2004-06
10.1080/17405904.2012.744320
10.1177/0957926593004002002
10.1111/j.1365-2648.2007.04569.x
10.1086/297771
10.1145/3593013.3594062
10.1177/09579265221118016
10.1037/a0021522
10.1177/20539517231156518
10.1177/0163443718772180
10.1177/235227982004028001003
10.1002/j.2168-9830.2012.tb00057.x
10.1177/14614448241252591
10.1080/14680777.2014.882373
10.1177/001872677202500201
10.1177/14614448241251791
10.1177/1077800414562899
10.2307/3346572
10.1145/3351095.3372879
10.33015/dominican.edu/2018.HONORS.ST.08
10.1111/j.1468-2885.2006.00277.x
10.1007/s11747-019-00710-5
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References Roberts ST (e_1_3_4_46_1) 2019
e_1_3_4_3_1
Wu S (e_1_3_4_63_1) 2023
Brown KM (e_1_3_4_9_1) 2009
e_1_3_4_61_1
e_1_3_4_42_1
e_1_3_4_7_1
e_1_3_4_40_1
e_1_3_4_5_1
e_1_3_4_23_1
e_1_3_4_21_1
e_1_3_4_44_1
e_1_3_4_27_1
e_1_3_4_25_1
e_1_3_4_48_1
Kirk HR (e_1_3_4_28_1) 2021; 34
Hunter ML (e_1_3_4_22_1) 2011; 4
e_1_3_4_53_1
e_1_3_4_30_1
Berg CR (e_1_3_4_4_1) 2002
e_1_3_4_51_1
e_1_3_4_13_1
e_1_3_4_34_1
e_1_3_4_59_1
e_1_3_4_55_1
e_1_3_4_11_1
e_1_3_4_32_1
e_1_3_4_38_1
e_1_3_4_36_1
e_1_3_4_57_1
Sandvig C (e_1_3_4_50_1) 2014; 22
e_1_3_4_19_1
Lee SJ (e_1_3_4_29_1) 2008
e_1_3_4_2_1
Cadwalladr C (e_1_3_4_10_1) 2016; 4
Fairclough N (e_1_3_4_15_1) 1995
Nelson C (e_1_3_4_37_1) 2014
e_1_3_4_62_1
e_1_3_4_64_1
e_1_3_4_8_1
e_1_3_4_20_1
e_1_3_4_41_1
e_1_3_4_6_1
e_1_3_4_60_1
e_1_3_4_24_1
e_1_3_4_45_1
e_1_3_4_43_1
e_1_3_4_49_1
e_1_3_4_26_1
e_1_3_4_47_1
Gaines LT (e_1_3_4_17_1) 2022; 9
Stevens WE (e_1_3_4_56_1) 2021; 7
e_1_3_4_31_1
e_1_3_4_52_1
e_1_3_4_12_1
e_1_3_4_35_1
e_1_3_4_58_1
e_1_3_4_33_1
e_1_3_4_54_1
e_1_3_4_16_1
e_1_3_4_39_1
e_1_3_4_14_1
e_1_3_4_18_1
References_xml – volume: 7
  issue: 3
  year: 2021
  ident: e_1_3_4_56_1
  article-title: Blackfishing on Instagram: influencing and the commodification of Black urban aesthetics
  publication-title: Social Media+ Society
– ident: e_1_3_4_20_1
  doi: 10.5040/9781350325234
– volume-title: Behind the Screen: Content Moderation in the Age of Social Media
  year: 2019
  ident: e_1_3_4_46_1
– ident: e_1_3_4_23_1
  doi: 10.2307/2111769
– ident: e_1_3_4_51_1
  doi: 10.1515/humr.1989.2.2.165
– ident: e_1_3_4_52_1
– ident: e_1_3_4_61_1
– ident: e_1_3_4_38_1
  doi: 10.18574/nyu/9781479833641.001.0001
– ident: e_1_3_4_48_1
  doi: 10.1177/20539517231176228
– ident: e_1_3_4_8_1
  doi: 10.1177/1461444813506972
– ident: e_1_3_4_32_1
  doi: 10.1111/j.1467-8721.2009.01662.x
– volume: 4
  start-page: 142
  issue: 4
  year: 2011
  ident: e_1_3_4_22_1
  article-title: Buying racial capital: skin-bleaching and cosmetic surgery in a globalized world
  publication-title: The Journal of Pan African Studies
– ident: e_1_3_4_55_1
  doi: 10.18574/nyu/9780814762899.001.0001
– ident: e_1_3_4_36_1
  doi: 10.2307/2962640
– ident: e_1_3_4_27_1
  doi: 10.4135/9781529782943.n45
– volume: 4
  start-page: 2016
  issue: 12
  year: 2016
  ident: e_1_3_4_10_1
  article-title: Google, democracy and the truth about internet search
  publication-title: The Guardian
– ident: e_1_3_4_54_1
  doi: 10.1080/0141987042000268503
– ident: e_1_3_4_49_1
  doi: 10.1093/geront/gnz172
– ident: e_1_3_4_24_1
  doi: 10.1145/3338243
– ident: e_1_3_4_16_1
  doi: 10.2307/3033707
– ident: e_1_3_4_25_1
  doi: 10.1093/ijlit/eav009
– volume: 9
  start-page: 7
  issue: 1
  year: 2022
  ident: e_1_3_4_17_1
  article-title: “This ain’t just a rap song”: 2pac, sociopolitical realities, and hip hop nation language
  publication-title: Journal of Hip Hop Studies
– volume-title: Critical discourse analysis: the critical study of language
  year: 1995
  ident: e_1_3_4_15_1
– ident: e_1_3_4_31_1
– ident: e_1_3_4_33_1
  doi: 10.1016/j.tele.2023.102068
– ident: e_1_3_4_12_1
  doi: 10.5771/9780739145210
– ident: e_1_3_4_53_1
– ident: e_1_3_4_11_1
  doi: 10.1177/019685999602000204
– ident: e_1_3_4_64_1
– ident: e_1_3_4_5_1
  doi: 10.1037/0022-3514.66.1.5
– volume: 34
  start-page: 2611
  year: 2021
  ident: e_1_3_4_28_1
  article-title: Bias out-of-the-box: an empirical analysis of intersectional occupational biases in popular generative language models
  publication-title: Advances in Neural Information Processing Systems
– ident: e_1_3_4_26_1
  doi: 10.1145/2702123.2702520
– ident: e_1_3_4_60_1
  doi: 10.14722/ndss.2018.23036
– ident: e_1_3_4_6_1
  doi: 10.1177/1461444819854731
– start-page: 7
  volume-title: Challenging fronteras
  year: 2014
  ident: e_1_3_4_37_1
– ident: e_1_3_4_2_1
  doi: 10.17576/gema-2020-2004-06
– ident: e_1_3_4_3_1
  doi: 10.1080/17405904.2012.744320
– start-page: 119
  volume-title: Asian American Psychology
  year: 2008
  ident: e_1_3_4_29_1
– ident: e_1_3_4_14_1
  doi: 10.1177/0957926593004002002
– ident: e_1_3_4_13_1
  doi: 10.1111/j.1365-2648.2007.04569.x
– ident: e_1_3_4_18_1
  doi: 10.1086/297771
– ident: e_1_3_4_30_1
  doi: 10.1145/3593013.3594062
– ident: e_1_3_4_19_1
  doi: 10.1177/09579265221118016
– ident: e_1_3_4_43_1
  doi: 10.1037/a0021522
– volume-title: Latino Images in Film: Stereotypes, Subversion, and Resistance
  year: 2002
  ident: e_1_3_4_4_1
– ident: e_1_3_4_21_1
  doi: 10.1177/20539517231156518
– volume-title: Foul Bodies: Cleanliness in Early America
  year: 2009
  ident: e_1_3_4_9_1
– start-page: 3
  year: 2023
  ident: e_1_3_4_63_1
  article-title: A study on the ABG, a racialized, gendered social label
  publication-title: Asian American Research Journal
– ident: e_1_3_4_7_1
  doi: 10.1177/0163443718772180
– ident: e_1_3_4_34_1
  doi: 10.1177/235227982004028001003
– ident: e_1_3_4_58_1
  doi: 10.1002/j.2168-9830.2012.tb00057.x
– ident: e_1_3_4_59_1
  doi: 10.1177/14614448241252591
– ident: e_1_3_4_57_1
– ident: e_1_3_4_62_1
  doi: 10.1080/14680777.2014.882373
– ident: e_1_3_4_35_1
  doi: 10.1177/001872677202500201
– ident: e_1_3_4_44_1
  doi: 10.1177/14614448241251791
– ident: e_1_3_4_41_1
  doi: 10.1177/1077800414562899
– ident: e_1_3_4_40_1
  doi: 10.2307/3346572
– volume: 22
  start-page: 4349
  issue: 2014
  year: 2014
  ident: e_1_3_4_50_1
  article-title: Auditing algorithms: research methods for detecting discrimination on internet platforms
  publication-title: Data and Discrimination: Converting Critical Concerns into Productive Inquiry
– ident: e_1_3_4_45_1
  doi: 10.1145/3351095.3372879
– ident: e_1_3_4_39_1
  doi: 10.33015/dominican.edu/2018.HONORS.ST.08
– ident: e_1_3_4_47_1
  doi: 10.1111/j.1468-2885.2006.00277.x
– ident: e_1_3_4_42_1
  doi: 10.1007/s11747-019-00710-5
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