{"id":1783,"date":"2022-10-01T11:50:03","date_gmt":"2022-10-01T08:50:03","guid":{"rendered":"https:\/\/persona.qcri.org\/blog\/?p=1783"},"modified":"2022-10-01T11:50:03","modified_gmt":"2022-10-01T08:50:03","slug":"intentionally-biasing-user-representation-investigating-the-pros-and-cons-of-removing-toxic-quotes-from-social-media-personas","status":"publish","type":"post","link":"https:\/\/persona.qcri.org\/blog\/intentionally-biasing-user-representation-investigating-the-pros-and-cons-of-removing-toxic-quotes-from-social-media-personas\/","title":{"rendered":"Intentionally Biasing User Representation?: Investigating the Pros and Cons of Removing Toxic Quotes from Social Media Personas"},"content":{"rendered":"<figure id=\"attachment_1784\" aria-describedby=\"caption-attachment-1784\" style=\"width: 300px\" class=\"wp-caption aligncenter\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" class=\"size-medium wp-image-1784\" src=\"https:\/\/i0.wp.com\/persona.qcri.org\/blog\/wp-content\/uploads\/2022\/10\/toxic_quotes.png?resize=300%2C227&#038;ssl=1\" alt=\"Intentionally Biasing User Representation?: Investigating the Pros and Cons of Removing Toxic Quotes from Social Media Personas\" width=\"300\" height=\"227\" srcset=\"https:\/\/i0.wp.com\/persona.qcri.org\/blog\/wp-content\/uploads\/2022\/10\/toxic_quotes.png?resize=300%2C227&amp;ssl=1 300w, https:\/\/i0.wp.com\/persona.qcri.org\/blog\/wp-content\/uploads\/2022\/10\/toxic_quotes.png?resize=768%2C582&amp;ssl=1 768w, https:\/\/i0.wp.com\/persona.qcri.org\/blog\/wp-content\/uploads\/2022\/10\/toxic_quotes.png?w=857&amp;ssl=1 857w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><figcaption id=\"caption-attachment-1784\" class=\"wp-caption-text\">Intentionally Biasing User Representation?: Investigating the Pros and Cons of Removing Toxic Quotes from Social Media Personas<\/figcaption><\/figure>\n<p>Algorithmically generated personas can help organizations understand their social media audiences. However, when using algorithms to create personas from social media user data, the resulting personas may contain toxic quotes that negatively affect content creators\u2019 perceptions of the personas.<\/p>\n<p>To address this issue, we have implemented toxicity detection in an algorithmic persona generation system capable of using tens of millions of social media interactions and user comments for persona creation.\u00a0On the system&#8217;s user interface, we provide a feature for content creators using the personas to turn on or off toxic quotes, depending on their preferences.<\/p>\n<p>To investigate the feasibility of this feature, we conducted a study with 50 professionals in the online publishing domain.<\/p>\n<p>The results show varied reactions, including hate-filter critics, hate-filter advocates, and those in between. Although personal preferences play a role, the usefulness of toxicity filtering appears primarily driven by the work task \u2013 specifically, the type and topic of stories the content creator seeks to create. We identify six use cases where a toxicity filter is beneficial.<\/p>\n<p>For system development, the results imply that it is beneficial to give content creators the option to view or not view toxic comments rather than making this decision in their stead.<\/p>\n<p>We also discuss the ethical implications of removing toxic quotes in algorithmically generated personas, including potentially biasing the user representation.<\/p>\n<p>Salminen, J., Jung, S.G., and Jansen, B. J. (2022) Intentionally Biasing User Representation?: Investigating the Pros and Cons of Removing Toxic Quotes from Social Media Personas. NordiCHI 2022, 10-12 October 2022, Aarhus University, Denmark. Article No.: 10.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Algorithmically generated personas can help organizations understand their social media audiences. However, when using algorithms to create personas from social media user data, the resulting personas may contain toxic quotes that negatively affect content creators\u2019 perceptions of the personas. To address this issue, we have implemented toxicity detection in an algorithmic persona generation system capable [&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":"default","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":"default","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":[37,59],"tags":[],"class_list":["post-1783","post","type-post","status-publish","format-standard","hentry","category-persona-design","category-persona-development"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.3 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Intentionally Biasing User Representation?: Investigating the Pros and Cons of Removing Toxic Quotes from Social Media Personas &#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\/intentionally-biasing-user-representation-investigating-the-pros-and-cons-of-removing-toxic-quotes-from-social-media-personas\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Intentionally Biasing User Representation?: Investigating the Pros and Cons of Removing Toxic Quotes from Social Media Personas &#8211; The Persona Blog\" \/>\n<meta property=\"og:description\" content=\"Algorithmically generated personas can help organizations understand their social media audiences. 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