{"id":283,"date":"2020-03-09T08:34:51","date_gmt":"2020-03-09T08:34:51","guid":{"rendered":"https:\/\/persona.qcri.org\/blog\/?p=283"},"modified":"2020-04-24T09:35:45","modified_gmt":"2020-04-24T09:35:45","slug":"persona-bias","status":"publish","type":"post","link":"https:\/\/persona.qcri.org\/blog\/persona-bias\/","title":{"rendered":"Can Your Personas be Biased?"},"content":{"rendered":"<figure id=\"attachment_284\" aria-describedby=\"caption-attachment-284\" style=\"width: 300px\" class=\"wp-caption aligncenter\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" class=\"size-medium wp-image-284\" src=\"https:\/\/i0.wp.com\/persona.qcri.org\/blog\/wp-content\/uploads\/2020\/03\/bias02.jpg?resize=300%2C166&#038;ssl=1\" alt=\"bias image\" width=\"300\" height=\"166\" srcset=\"https:\/\/i0.wp.com\/persona.qcri.org\/blog\/wp-content\/uploads\/2020\/03\/bias02.jpg?resize=300%2C166&amp;ssl=1 300w, https:\/\/i0.wp.com\/persona.qcri.org\/blog\/wp-content\/uploads\/2020\/03\/bias02.jpg?resize=1024%2C567&amp;ssl=1 1024w, https:\/\/i0.wp.com\/persona.qcri.org\/blog\/wp-content\/uploads\/2020\/03\/bias02.jpg?resize=768%2C425&amp;ssl=1 768w, https:\/\/i0.wp.com\/persona.qcri.org\/blog\/wp-content\/uploads\/2020\/03\/bias02.jpg?resize=1536%2C851&amp;ssl=1 1536w, https:\/\/i0.wp.com\/persona.qcri.org\/blog\/wp-content\/uploads\/2020\/03\/bias02.jpg?resize=2048%2C1134&amp;ssl=1 2048w, https:\/\/i0.wp.com\/persona.qcri.org\/blog\/wp-content\/uploads\/2020\/03\/bias02.jpg?resize=1200%2C665&amp;ssl=1 1200w, https:\/\/i0.wp.com\/persona.qcri.org\/blog\/wp-content\/uploads\/2020\/03\/bias02.jpg?resize=1980%2C1097&amp;ssl=1 1980w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><figcaption id=\"caption-attachment-284\" class=\"wp-caption-text\"><a href=\"http:\/\/www.bernardjjansen.com\/uploads\/2\/4\/1\/8\/24188166\/lbw0122.pdf\">Detecting Demographic Bias in Automatically Generated Personas<\/a><\/figcaption><\/figure>\n<p>In research led by Joni Salminen, we investigate the existence of demographic bias in automatically generated personas by producing <a href=\"https:\/\/persona.qcri.org\/blog\/benefits-of-data-driven-personas-2\/\">personas from YouTube Analytics data<\/a>.<\/p>\n<p>Despite the intended objectivity of the methodology, we find elements of bias in the data-driven personas. The bias is highest when doing an exact match comparison, and the bias decreases when comparing at age or gender level. The bias also decreases when increasing the number of generated personas.<\/p>\n<p>For example, the smaller number of personas resulted in under representation of female personas. This suggests that a higher number of personas gives a more balanced representation of the user population and a smaller number increases biases.<\/p>\n<p>Researchers and practitioners developing data-driven personas should consider the possibility of algorithmic bias, even unintentional, in their personas by comparing the personas against the underlying raw data.<\/p>\n<h3>Read full research<\/h3>\n<p>Salminen, J., Jung, S.G., and Jansen, B. J. (2019) <a href=\"http:\/\/www.bernardjjansen.com\/uploads\/2\/4\/1\/8\/24188166\/lbw0122.pdf\">Detecting Demographic Bias in Automatically Generated Persona<\/a>. ACM CHI Conference on Human Factors in Computing Systems (CHI2019) (Extended Abstract), Glasgow, United Kingdom, 4-9 May. Paper No. LBW0122.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>In research led by Joni Salminen, we investigate the existence of demographic bias in automatically generated personas by producing personas from YouTube Analytics data. Despite the intended objectivity of the methodology, we find elements of bias in the data-driven personas. The bias is highest when doing an exact match comparison, and the bias decreases when [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[3,7,2],"tags":[65],"class_list":["post-283","post","type-post","status-publish","format-standard","hentry","category-data-driven-personas","category-persona-research","category-personas","tag-persona-bias"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.3 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Can Your Personas be Biased? &#8211; The Persona Blog<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/persona.qcri.org\/blog\/persona-bias\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Can Your Personas be Biased? &#8211; The Persona Blog\" \/>\n<meta property=\"og:description\" content=\"In research led by Joni Salminen, we investigate the existence of demographic bias in automatically generated personas by producing personas from YouTube Analytics data. 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