Digital discrimination detection in ridesharing services

  • Raquel T. de Paiva Universidade Federal do Estado do Rio de Janeiro (UNIRIO)
  • Wendy S. Cataldo Universidade Federal do Estado do Rio de Janeiro (UNIRIO)
  • Ana Cristina B. Garcia Universidade Federal do Estado do Rio de Janeiro (UNIRIO)
  • Carlos E. de Mello Universidade Federal do Estado do Rio de Janeiro (UNIRIO)


The introduction of technology has significantly transformed the urban transport industry, revealing social issues such as bias-driven trip cancellations. After a bibliographical review on how the topic is treated, we created an ontology and established the objective of analyzing digital discrimination, approaching it through the analysis of collective data, which can direct mechanisms to discourage discrimination in digital services. This study seeks to answer: RQ1: Is there evidence of digital discrimination in the shared transport service in the city of Rio de Janeiro? RQ2: Is it possible to identify the factors that lead to discrimination? RQ3: What are the key concepts related to detecting Digital Discrimination in a shared transport service?
Palavras-chave: Ontology, ridesharing service, crowd data, digital discrimination


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PAIVA, Raquel T. de; CATALDO, Wendy S.; GARCIA, Ana Cristina B.; DE MELLO, Carlos E.. Digital discrimination detection in ridesharing services. In: SIMPÓSIO BRASILEIRO DE SISTEMAS COLABORATIVOS (SBSC), 19. , 2024, Salvador/BA. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2024 . p. 183-191. ISSN 2326-2842. DOI: