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Interact."],"published-print":{"date-parts":[[2026,2,28]]},"abstract":"<jats:p>\n                    Rideshare workers experience unpredictable working conditions due to gig work platforms\u2019 reliance on opaque AI and algorithmic systems. In response to these challenges, we found that labor organizers want data to help them advocate for legislation to increase the transparency and accountability of these platforms. To address this need, we collaborated with a Colorado-based rideshare union to develop\n                    <jats:sc>FairFare<\/jats:sc>\n                    , a tool that crowdsources and analyzes workers\u2019 data to estimate the \u201ctake rate\u201d\u2014the percentage of the rider price retained by the rideshare platform. We deployed\n                    <jats:sc>FairFare<\/jats:sc>\n                    with our partner organization that collaborated with us in collecting data on 76,000+ trips from 45 drivers over 18\u2009months. During evaluation interviews, organizers reported that\n                    <jats:sc>FairFare<\/jats:sc>\n                    helped influence state-level advocacy. Finally, we reflect on the complexities of translating quantitative data into policy outcomes, the nature of community-based audits, and the design implications for future transparency tools.\n                  <\/jats:p>","DOI":"10.1145\/3769680","type":"journal-article","created":{"date-parts":[[2025,10,15]],"date-time":"2025-10-15T08:38:12Z","timestamp":1760517492000},"page":"1-30","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["<scp>FairFare<\/scp>\n                    : A Tool for Crowdsourcing Rideshare Data to Empower Labor Organizers"],"prefix":"10.1145","volume":"33","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9552-1137","authenticated-orcid":false,"given":"Dana","family":"Calacci","sequence":"first","affiliation":[{"name":"Penn State University, University Park, Pennsylvania, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4692-2196","authenticated-orcid":false,"given":"Varun Nagaraj","family":"Rao","sequence":"additional","affiliation":[{"name":"Princeton University, Princeton, New Jersey, 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, Colorado, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2387-7422","authenticated-orcid":false,"given":"Catherine","family":"Di","sequence":"additional","affiliation":[{"name":"Princeton University, Princeton, New Jersey, USA"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-8184-5270","authenticated-orcid":false,"given":"Kok-Wei","family":"Pua","sequence":"additional","affiliation":[{"name":"Princeton University, Princeton, New Jersey, USA"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-8913-2562","authenticated-orcid":false,"given":"Andrew","family":"Schwartz","sequence":"additional","affiliation":[{"name":"Cornflower Labs, Boulder, Colorado, USA"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-8464-0955","authenticated-orcid":false,"given":"Danny","family":"Spitzberg","sequence":"additional","affiliation":[{"name":"University of California Berkeley, Berkeley, California, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4889-9484","authenticated-orcid":false,"given":"Andr\u00e9s","family":"Monroy-Hern\u00e1ndez","sequence":"additional","affiliation":[{"name":"Princeton University, Princeton, New Jersey, USA"}]}],"member":"320","published-online":{"date-parts":[[2026,2,25]]},"reference":[{"key":"e_1_3_2_2_2","unstructured":"2023. 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