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In this paper, we identify transparency-related harms, mitigation strategies, and worker needs while validating and contextualizing our findings within the broader worker community. We use a novel mixed-methods study combining an LLM-based analysis of over 1 million comments posted to online platform worker communities with semi-structured interviews with workers. Our findings expose a transparency gap between existing platform designs and the information drivers need, particularly concerning promotions, fares, routes, and task allocation. Our analysis suggests that rideshare workers need key pieces of information, which we refer to as\n            <jats:italic toggle=\"yes\">indicators<\/jats:italic>\n            , to make informed work decisions. These indicators include details about rides, driver statistics, algorithmic implementation details, and platform policy information. We argue that instead of relying on platforms to include such information in their designs, new regulations requiring platforms to publish public transparency reports may be a more effective solution to improve worker well-being. We offer recommendations for implementing such a policy.\n          <\/jats:p>","DOI":"10.1145\/3711059","type":"journal-article","created":{"date-parts":[[2025,5,3]],"date-time":"2025-05-03T01:35:05Z","timestamp":1746236105000},"page":"1-49","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":8,"title":["Rideshare Transparency: Translating Gig Worker Insights on AI Platform Design to Policy"],"prefix":"10.1145","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4692-2196","authenticated-orcid":false,"given":"Varun","family":"Nagaraj Rao","sequence":"first","affiliation":[{"name":"Center for Information Technology Policy, Princeton University, Princeton, NJ, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5604-055X","authenticated-orcid":false,"given":"Samantha","family":"Dalal","sequence":"additional","affiliation":[{"name":"University of Colorado Boulder, Boulder, CO, USA"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-3882-0622","authenticated-orcid":false,"given":"Eesha","family":"Agarwal","sequence":"additional","affiliation":[{"name":"Princeton University, Princeton, NJ, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9552-1137","authenticated-orcid":false,"given":"Dana","family":"Calacci","sequence":"additional","affiliation":[{"name":"Penn State University, University Park, PA, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4889-9484","authenticated-orcid":false,"given":"Andr\u00e9s","family":"Monroy-Hern\u00e1ndez","sequence":"additional","affiliation":[{"name":"Center for Information Technology Policy, Princeton University, Princeton, NJ, USA"}]}],"member":"320","published-online":{"date-parts":[[2025,5,2]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3173574.3174156"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","unstructured":"Katharine Abraham John Haltiwanger Kristin Sandusky and James Spletzer. 2018. 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