{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/108139"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/108139","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Busting bias in the fashion industry","abstract":"\"Diversity in the media is a huge issue; lately there have been wins like more minority representation in films and TV, but one area that is known to be less diverse is the fashion industry. While many companies are trying to have more diversity, not just in race but in body type too, it's hard to tell who is doing a good job and how well they are doing it. We were interested in seeing if there was a way to easily compare these brands and their diversity through visualization which resulted in StyleRep. StyleRep is an interface composed of four main parts: the \"\"average'', skin, shape, and clustering. These four sections each focus on a different way to represent diversity either through body shape or skin color. While not perfect, we were still able to see general patterns and trends in the fashion industry through our visualization. We hope StyleRep is the first of many steps towards trying to better represent the state of diversity within the fashion industry and beyond.\"","abstract_html":""Diversity in the media is a huge issue; lately there have been wins like more minority representation in films and TV, but one area that is known to be less diverse is the fashion industry. While many companies are trying to have more diversity, not just in race but in body type too, it's hard to tell who is doing a good job and how well they are doing it. We were interested in seeing if there was a way to easily compare these brands and their diversity through visualization which resulted in StyleRep. StyleRep is an interface composed of four main parts: the ""average'', skin, shape, and clustering. These four sections each focus on a different way to represent diversity either through body shape or skin color. While not perfect, we were still able to see general patterns and trends in the fashion industry through our visualization. We hope StyleRep is the first of many steps towards trying to better represent the state of diversity within the fashion industry and beyond."","abstract_has_math":false,"creators":["Huynh, Heather"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Computer Science","degree_department":null,"school":null,"contributors":["Karahalios, Karrie"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2020,"date_issued":"2020-08-26T23:57:21Z","date_published":"2020-08-26T23:57:21Z","updated_at":"2026-07-22T22:24:47Z","subjects":["bias, fashion, human-computer interaction, visualization"],"languages":["en"],"rights":["Copyright 2020 Heather Huynh"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/108139","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Karahalios, Karrie"]},{"key":"dc:creator","label":"Author","values":["Huynh, Heather"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2020-08-26T23:57:21Z","2022-08-26T23:58:55Z","2020-05-11","2020-05"]},{"key":"dc:type","label":"Dc Type","values":["text","Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Computer Science"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["bias, fashion, human-computer interaction, visualization"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2020 Heather Huynh"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/108139"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["\"Diversity in the media is a huge issue; lately there have been wins like more minority representation in films and TV, but one area that is known to be less diverse is the fashion industry. While many companies are trying to have more diversity, not just in race but in body type too, it's hard to tell who is doing a good job and how well they are doing it. We were interested in seeing if there was a way to easily compare these brands and their diversity through visualization which resulted in StyleRep. StyleRep is an interface composed of four main parts: the \"\"average'', skin, shape, and clustering. These four sections each focus on a different way to represent diversity either through body shape or skin color. While not perfect, we were still able to see general patterns and trends in the fashion industry through our visualization. We hope StyleRep is the first of many steps towards trying to better represent the state of diversity within the fashion industry and beyond.\"","Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2022-05-01","The student, Heather Huynh, accepted the attached license on 2020-04-30 at 14:05.","The student, Heather Huynh, submitted this Thesis for approval on 2020-05-08 at 14:49.","This Thesis was approved for publication on 2020-05-11 at 11:53.","DSpace SAF Submission Ingestion Package generated from Vireo submission #15130 on 2020-08-25 at 17:28:31","Made available in DSpace on 2020-08-26T23:57:21Z (GMT). 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While many companies are trying to have more diversity, not just in race but in body type too, it's hard to tell who is doing a good job and how well they are doing it. We were interested in seeing if there was a way to easily compare these brands and their diversity through visualization which resulted in StyleRep. StyleRep is an interface composed of four main parts: the \"\"average'', skin, shape, and clustering. These four sections each focus on a different way to represent diversity either through body shape or skin color. While not perfect, we were still able to see general patterns and trends in the fashion industry through our visualization. We hope StyleRep is the first of many steps towards trying to better represent the state of diversity within the fashion industry and beyond.\"","Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2022-05-01","The student, Heather Huynh, accepted the attached license on 2020-04-30 at 14:05.","The student, Heather Huynh, submitted this Thesis for approval on 2020-05-08 at 14:49.","This Thesis was approved for publication on 2020-05-11 at 11:53.","DSpace SAF Submission Ingestion Package generated from Vireo submission #15130 on 2020-08-25 at 17:28:31","Made available in DSpace on 2020-08-26T23:57:21Z (GMT). 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