This study investigates the role of artificial intelligence (AI) and data visualization in mitigating social harm during racial discourse. The study employed Design Science Research along with several theories, including Postcolonial, Critical Data Studies, Behavioral Change, Intersectionality, Visual Perception, Design Justice, and Critical Race theories, to create ClapbackForJustice, an AI-powered plugin aimed at combating so-called fake news, establishing guardrails, and reducing social harm against African Americans and their allies on social media. Cutting-edge frameworks, empirical testing via ChatGPT-4, and a mixed methods survey were critical to the methodology. The results revealed notable outcomes in identifying nuances in racial discourse: hate speech, harm, toxicity, the usage of stereotypes, and racial misinformation. Significant behavioral shifts among 27 participants in terms of enhanced awareness of racially charged content and a significant sense of empowerment to combat such content were observed. This study is a novel approach to Design Science Research and Information Systems and Technology. It is focused on promoting racial justice and anti-racism, and it highlights the transformational impact of advanced technology on societal progress toward racial justice.
","abstract_html":"<p>This study investigates the role of artificial intelligence (AI) and data visualization in mitigating social harm during racial discourse. The study employed Design Science Research along with several theories, including Postcolonial, Critical Data Studies, Behavioral Change, Intersectionality, Visual Perception, Design Justice, and Critical Race theories, to create ClapbackForJustice, an AI-powered plugin aimed at combating so-called fake news, establishing guardrails, and reducing social harm against African Americans and their allies on social media. Cutting-edge frameworks, empirical testing via ChatGPT-4, and a mixed methods survey were critical to the methodology. The results revealed notable outcomes in identifying nuances in racial discourse: hate speech, harm, toxicity, the usage of stereotypes, and racial misinformation. Significant behavioral shifts among 27 participants in terms of enhanced awareness of racially charged content and a significant sense of empowerment to combat such content were observed. This study is a novel approach to Design Science Research and Information Systems and Technology. It is focused on promoting racial justice and anti-racism, and it highlights the transformational impact of advanced technology on societal progress toward racial justice.</p>","abstract_has_math":false,"creators":["Kotlewski, Whitney Mariena"],"institution":null,"degree_name":"Information Systems and Technology, PhD","degree_level":"Open Access Dissertation","degree_discipline":"Center for Information Systems and Technology","degree_department":null,"school":null,"contributors":["Wallace Chipidza","Samir Chatterjee","Itamar Shabtai"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2024,"date_issued":"2024-01-01T08:00:00Z","date_published":"2024-01-01T08:00:00Z","updated_at":"2026-07-24T01:40:36Z","subjects":["Artificial Intelligence","Critical Race Theory","Data Visualization","Misinformation","Racial Justice","Social Media","Science and Technology Studies","Sociology"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://scholarship.claremont.edu/cgu_etd/827","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Wallace Chipidza","Samir Chatterjee","Itamar Shabtai"]},{"key":"dc:creator","label":"Author","values":["Kotlewski, Whitney Mariena"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.available","label":"Dc Date Available","values":["2026-08-21T07:00:00Z"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Center for Information Systems and Technology"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Open Access Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Information Systems and Technology, PhD"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Artificial Intelligence","Critical Race Theory","Data Visualization","Misinformation","Racial Justice","Social Media","Science and Technology Studies","Sociology"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://scholarship.claremont.edu/cgu_etd/827"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["This study investigates the role of artificial intelligence (AI) and data visualization in mitigating social harm during racial discourse. The study employed Design Science Research along with several theories, including Postcolonial, Critical Data Studies, Behavioral Change, Intersectionality, Visual Perception, Design Justice, and Critical Race theories, to create ClapbackForJustice, an AI-powered plugin aimed at combating so-called fake news, establishing guardrails, and reducing social harm against African Americans and their allies on social media. Cutting-edge frameworks, empirical testing via ChatGPT-4, and a mixed methods survey were critical to the methodology. The results revealed notable outcomes in identifying nuances in racial discourse: hate speech, harm, toxicity, the usage of stereotypes, and racial misinformation. Significant behavioral shifts among 27 participants in terms of enhanced awareness of racially charged content and a significant sense of empowerment to combat such content were observed. This study is a novel approach to Design Science Research and Information Systems and Technology. It is focused on promoting racial justice and anti-racism, and it highlights the transformational impact of advanced technology on societal progress toward racial justice.
"]},{"key":"dc:title","label":"Title","values":["Designing for Racial Justice: AI, Data Visualization, and Mitigating Social Harm during Racial Discourse"]}]}],"canonical_facts":{"dc:contributor":["Wallace Chipidza","Samir Chatterjee","Itamar Shabtai"],"dc:creator":["Kotlewski, Whitney Mariena"],"dc:date.available":["2026-08-21T07:00:00Z"],"dc:description.abstract":["This study investigates the role of artificial intelligence (AI) and data visualization in mitigating social harm during racial discourse. The study employed Design Science Research along with several theories, including Postcolonial, Critical Data Studies, Behavioral Change, Intersectionality, Visual Perception, Design Justice, and Critical Race theories, to create ClapbackForJustice, an AI-powered plugin aimed at combating so-called fake news, establishing guardrails, and reducing social harm against African Americans and their allies on social media. Cutting-edge frameworks, empirical testing via ChatGPT-4, and a mixed methods survey were critical to the methodology. The results revealed notable outcomes in identifying nuances in racial discourse: hate speech, harm, toxicity, the usage of stereotypes, and racial misinformation. Significant behavioral shifts among 27 participants in terms of enhanced awareness of racially charged content and a significant sense of empowerment to combat such content were observed. This study is a novel approach to Design Science Research and Information Systems and Technology. It is focused on promoting racial justice and anti-racism, and it highlights the transformational impact of advanced technology on societal progress toward racial justice.
"],"dc:identifier":["https://scholarship.claremont.edu/cgu_etd/827"],"dc:subject":["Artificial Intelligence","Critical Race Theory","Data Visualization","Misinformation","Racial Justice","Social Media","Science and Technology Studies","Sociology"],"dc:title":["Designing for Racial Justice: AI, Data Visualization, and Mitigating Social Harm during Racial Discourse"],"thesis:degree_discipline":["Center for Information Systems and Technology"],"thesis:degree_level":["Open Access Dissertation"],"thesis:degree_name":["Information Systems and Technology, PhD"]},"updated_at":"2026-07-24T01:40:36Z"}