{"links":{"self":"http://dataportal.arc.gov.au/NCGP/API/grants/DE260100075"},"data":{"type":"grant-details","id":"DE260100075","attributes":{"code":"DE260100075","administering-organisation":"The Australian National University","announcement-administering-organisation":"The Australian National University","scheme-name":"Discovery Early Career Researcher Award","grant-status":"Active","funding-commencement-year":2026,"years-funded":3,"project-start-date":"2026-01-01","anticipated-end-date":"2028-12-31","grant-summary":"Model minorities: racial targeting and discrimination in the platform era. This project aims to investigate the impacts of algorithmic targeting and discrimination on racially marginalised groups in Australia. It expects to generate new knowledge on the local impacts of global social media platforms by piloting innovative social science methods to document and analyse the real-world experience of racial targeting and classification. Expected outcomes of this project include national capacity building workshops and international collaborations to strengthen critical anti-racist research. This should provide significant benefits, such as holding platforms accountable to users and national regulators, strengthening national research infrastructure, and ensuring platforms operate in alignment with community values.","funding-current":523302.00,"funding-at-announcement":519185,"investigators-current":[{"title":"Dr","firstName":"Thao","familyName":"Phan","roleName":"Discovery Early Career Researcher Award","roleCode":"DECRA","isFellowship":true,"orcidIdentifier":"0000-0002-2013-3359 "}],"investigators-at-announcement":[{"title":"Dr","firstName":"Thao","familyName":"Phan","roleName":"Discovery Early Career Researcher Award","roleCode":"DECRA","isFellowship":true,"orcidIdentifier":"0000-0002-2013-3359 "}],"organisations-current":[{"organisationName":"The Australian National University","roleName":"Administering Organisation","state":"ACT"}],"organisations-at-announcement":[{"organisationName":"The Australian National University","roleName":"Administering Organisation","state":"ACT"}],"field-of-research":[{"isPrimary":true,"code":"4410","name":"Sociology","type":"FOR20"},{"isPrimary":false,"code":"441007","name":"Sociology and Social Studies of Science and Technology","type":"FOR20"},{"isPrimary":false,"code":"470102","name":"Communication Technology and Digital Media Studies","type":"FOR20"}],"socio-economic-objective":[{"code":"220502","name":"Internet, Digital and Social Media","type":"SEO20"},{"code":"280123","name":"Expanding Knowledge In Human Society","type":"SEO20"}],"international-collaboration":["England","United States of America"],"lief-register":[],"achievement-summary":null,"national-interest-test-statement":"Data-driven platforms like Facebook and Instagram play a central role in the everyday lives of Australians. Internationally, there is evidence of platforms allowing third parties to use their machine learning tools to target and discriminate against racial minorities, yet we know little of the risks these tools pose for Australian users. The Australian Human Rights Commission has identified this kind of algorithmic discrimination as a key challenge for contemporary anti-discrimination law and practice. By partnering with national research infrastructure initiative the Australian Internet Observatory (AIO) to document the experience of racial targeting by platforms, this project will produce new methods to understand how social media traces are used to target, classify, and discriminate against racially marginalised groups in Australia. The development of field guides, national workshops, creative outputs, and public symposia will transfer knowledge about the risks of racial targeting and their potential to exacerbate racial inequality to platform regulators and members of the public, benefitting the lives of racialized people through improved knowledge of the risks and harms of data-driven racial classification and discrimination."}}}