2020/12/17 by Nicholas Vincent, Hanlin Li, Vincent, Nicholas +7 · 7 citations
Computer Science · Social Sciences · #Computers and Society (cs.CY) #Cybercrime and Law Enforcement Studies #E-Government and Public Services #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Mobile Crowdsensing and Crowdsourcing #Privacy, Security, and Data Protection
paper · pdf · doi:10.48550/arxiv.2012.09995
openalex publication_date 2020/12/17 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Many powerful computing technologies rely on implicit and explicit data\ncontributions from the public. This dependency suggests a potential source of\nleverage for the public in its relationship with technology companies: by\nreducing, stopping, redirecting, or otherwise manipulating data contributions,\nthe public can reduce the effectiveness of many lucrative technologies. In this\npaper, we synthesize emerging research that seeks to better understand and help\npeople action this \data leverage. Drawing on prior work in areas\nincluding machine learning, human-computer interaction, and fairness and\naccountability in computing, we present a framework for understanding data\nleverage that highlights new opportunities to change technology company\nbehavior related to privacy, economic inequality, content moderation and other\nareas of societal concern. Our framework also points towards ways that\npolicymakers can bolster data leverage as a means of changing the balance of\npower between the public and tech companies.\n