Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
125 tokens/sec
GPT-4o
47 tokens/sec
Gemini 2.5 Pro Pro
43 tokens/sec
o3 Pro
4 tokens/sec
GPT-4.1 Pro
47 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

"At the end of the day, I am accountable": Gig Workers' Self-Tracking for Multi-Dimensional Accountability Management (2403.19436v1)

Published 28 Mar 2024 in cs.HC

Abstract: Tracking is inherent in and central to the gig economy. Platforms track gig workers' performance through metrics such as acceptance rate and punctuality, while gig workers themselves engage in self-tracking. Although prior research has extensively examined how gig platforms track workers through metrics -- with some studies briefly acknowledging the phenomenon of self-tracking among workers -- there is a dearth of studies that explore how and why gig workers track themselves. To address this, we conducted 25 semi-structured interviews, revealing how gig workers self-tracking to manage accountabilities to themselves and external entities across three identities: the holistic self, the entrepreneurial self, and the platformized self. We connect our findings to neoliberalism, through which we contextualize gig workers' self-accountability and the invisible labor of self-tracking. We further discuss how self-tracking mitigates information and power asymmetries in gig work and offer design implications to support gig workers' multi-dimensional self-tracking.

Definition Search Book Streamline Icon: https://streamlinehq.com
References (117)
  1. Design Opportunities for Freelancing Platforms: Online Freelancers’ Views on a Worker-Centred Design Fiction. In Proceedings of the 1st Annual Meeting of the Symposium on Human-Computer Interaction for Work (CHIWORK ’22). Association for Computing Machinery, New York, NY, USA, 1–19. https://doi.org/10.1145/3533406.3533410
  2. Understanding Platform Mediated Work-Life: A Diary Study with Gig Economy Freelancers. Proceedings of the ACM on Human-Computer Interaction 7, CSCW1 (Apr 2023), 106:1–106:32. https://doi.org/10.1145/3579539
  3. Everything We Do, Everything We Press: Data-Driven Remote Performance Management in a Mobile Workplace. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI ’18). Association for Computing Machinery, New York, NY, USA, 1–14. https://doi.org/10.1145/3173574.3173945
  4. Health Mashups: Presenting Statistical Patterns between Wellbeing Data and Context in Natural Language to Promote Behavior Change. ACM Transactions on Computer-Human Interaction 20, 5 (Nov 2013), 30:1–30:27. https://doi.org/10.1145/2503823
  5. Paula Blomqvist and Ulrika Winblad. 2022. Contracting out welfare services: how are private contractors held accountable? Public Management Review 24, 2 (Feb 2022), 233–254. https://doi.org/10.1080/14719037.2020.1817530
  6. Rebecca Boden. 1999. Figure it out yourself: financial reporting, accountability and the self-employed. Critical Perspectives on Accounting 10, 1 (Feb 1999), 37–62. https://doi.org/10.1006/cpac.1998.0198
  7. Virginia Braun and Victoria Clarke. 2019. Reflecting on reflexive thematic analysis. Qualitative Research in Sport, Exercise and Health 11, 4 (Aug 2019), 589–597. https://doi.org/10.1080/2159676X.2019.1628806
  8. Wendy Brown. 2015. Undoing the Demos: Neoliberalism’s Stealth Revolution. MIT Press.
  9. Dan Calacci and Alex Pentland. 2022. Bargaining with the Black-Box: Designing and Deploying Worker-Centric Tools to Audit Algorithmic Management. Proceedings of the ACM on Human-Computer Interaction 6, CSCW2 (Nov 2022), 428:1–428:24. https://doi.org/10.1145/3570601
  10. Lindsey D. Cameron. 2022. “Making Out” While Driving: Relational and Efficiency Games in the Gig Economy. Organization Science 33, 1 (Jan. 2022), 231–252. https://doi.org/10.1287/orsc.2021.1547
  11. Antonio Casilli and Julian Posada. 2019. The Platformization of Labor and Society. Oxford University Press, 293–306. Google-Books-ID: w0KjDwAAQBAJ.
  12. Brianna Barker Caza and Marie Gee Wilson. 2009. Me, myself and I: The benefits of work-identity complexity. Psychology Press, 99–123.
  13. Ngai Keung Chan. 2022. Algorithmic precarity and metric power: Managing the affective measures and customers in the gig economy. Big Data & Society 9, 2 (Jul 2022), 20539517221133779. https://doi.org/10.1177/20539517221133779
  14. Miriam A. Cherry. 2023. An Update on Gig Worker Employment Status Across the United States Symposium - Gig Economy. University of the Pacific Law Review 54, 1 (2023), 21–34.
  15. Understanding quantified-selfers’ practices in collecting and exploring personal data. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, Toronto Ontario Canada, 1143–1152. https://doi.org/10.1145/2556288.2557372
  16. Finding the Right Fit: Understanding Health Tracking in Workplace Wellness Programs. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (CHI ’17). Association for Computing Machinery, New York, NY, USA, 4875–4886. https://doi.org/10.1145/3025453.3025510
  17. Travis Clark. 2020. The Gig Is up: An Analysis of the Gig-Economy and an Outdated Worker Classification System in Need of Reform. Seattle Journal for Social Justice 19, 3 (2020), 769–808.
  18. Victoria Clarke and Virginia Braun. 2021. Thematic Analysis: A Practical Guide. SAGE Publications Ltd. https://www.torrossa.com/it/resources/an/5282292
  19. The Passions and the Interests: Unpacking the “Sharing Economy”. http://dx.doi.org/10.2139/ssrn.2793901
  20. Design requirements for technologies that encourage physical activity. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI ’06). Association for Computing Machinery, New York, NY, USA, 457–466. https://doi.org/10.1145/1124772.1124840
  21. Valerio De Stefano. 2016. The Rise of the “Just-in-TIme Workforce”: On-Demand Work, Crowdwork, and Labor Protection in the “Gig Economy”. Comparative Labor Law & Policy Journal 37, 3 (2016), 471–503.
  22. Gianluca F. Delfino. 2022. Can politicians jeopardize public–private partnerships? The case of the Mottarone cable car crash. Public Administration Review 82, 6 (2022), 1192–1197. https://doi.org/10.1111/puar.13524
  23. A Multi-Sensor Approach to Automatically Recognize Breaks and Work Activities of Knowledge Workers in Academia. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 4, 3 (Sep 2020), 78:1–78:20. https://doi.org/10.1145/3411821
  24. Joan Morris DiMicco and David R. Millen. 2007. Identity management: multiple presentations of self in facebook. In Proceedings of the 2007 ACM International Conference on Supporting Group Work (GROUP ’07). Association for Computing Machinery, New York, NY, USA, 383–386. https://doi.org/10.1145/1316624.1316682
  25. Jennifer J. Dose and Richard J. Klimoski. 1995. Doing the right thing in the workplace: Responsibility in the face of accountability. Employee Responsibilities and Rights Journal 8, 1 (1995), 35–56.
  26. Freelance, side hustles, and gigs: Many more Americans have become independent workers — McKinsey. https://www.mckinsey.com/featured-insights/sustainable-inclusive-growth/future-of-america/freelance-side-hustles-and-gigs-many-more-americans-have-become-independent-workers
  27. Algorithmic management and app-work in the gig economy: A research agenda for employment relations and HRM. Human Resource Management Journal 30, 1 (2019), 114–132. https://doi.org/10.1111/1748-8583.12258
  28. Taking 5: Work-Breaks, Productivity, and Opportunities for Personal Informatics for Knowledge Workers. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (CHI ’16). Association for Computing Machinery, New York, NY, USA, 673–684. https://doi.org/10.1145/2858036.2858066
  29. Mapping and Taking Stock of the Personal Informatics Literature. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 4, 4 (Dec 2020), 126:1–126:38. https://doi.org/10.1145/3432231
  30. Examining Menstrual Tracking to Inform the Design of Personal Informatics Tools. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (CHI ’17). Association for Computing Machinery, New York, NY, USA, 6876–6888. https://doi.org/10.1145/3025453.3025635
  31. A lived informatics model of personal informatics. In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp ’15). Association for Computing Machinery, New York, NY, USA, 731–742. https://doi.org/10.1145/2750858.2804250
  32. Shelly D. Farnham and Elizabeth F. Churchill. 2011. Faceted identity, faceted lives: social and technical issues with being yourself online. In Proceedings of the ACM 2011 conference on Computer supported cooperative work (CSCW ’11). Association for Computing Machinery, New York, NY, USA, 359–368. https://doi.org/10.1145/1958824.1958880
  33. Routine self-tracking of health: reasons, facilitating factors, and the potential impact on health management practices. AMIA Annual Symposium Proceedings 2017 (Apr 2018), 706–714.
  34. Gary Gerstle. 2022. The Rise and Fall of the Neoliberal Order: America and the World in the Free Market Era. Oxford University Press. Google-Books-ID: 3PJbEAAAQBAJ.
  35. Kassem A. Ghanem. 2022. Leadership Self-Accountability to Prevent Corruption in the Workplace. Open Access Library Journal 9, 1010 (Sep 2022), 1–21. https://doi.org/10.4236/oalib.1109320
  36. Kassem A. Ghanem and Patricia A. Castelli. 2019. Self-accountability in the Literature of Leadership. Journal of Leadership, Accountability and Ethics 16, 5 (Dec 2019). https://doi.org/10.33423/jlae.v16i5.2653
  37. Erving Goffman. 1959. The Presentation of Self in Everyday Life. Doubleday Anchor Books, Garden City, NY.
  38. “Is your gig any good?” Analysing job quality in the Australian platform-based food-delivery sector. Journal of Industrial Relations 61, 4 (Sep 2019), 502–527. https://doi.org/10.1177/0022185618817069
  39. When Fitness Meets Social Networks: Investigating Fitness Tracking and Social Practices on WeRun. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (CHI ’17). Association for Computing Machinery, New York, NY, USA, 1647–1659. https://doi.org/10.1145/3025453.3025654
  40. Is Your Time Well Spent? Reflecting on Knowledge Work More Holistically. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (CHI ’20). Association for Computing Machinery, New York, NY, USA, 1–9. https://doi.org/10.1145/3313831.3376586
  41. Gable F. Hackman. 2007. Slipping through the Cracks: Can We Hold Private Security Contractors Accountable for Their Actions Abroad Comment. Loyola Journal of Public Interest Law 9, 2 (2007), 251–272.
  42. An accountability account: A review and synthesis of the theoretical and empirical research on felt accountability. Journal of Organizational Behavior 38, 2 (2017), 204–224. https://doi.org/10.1002/job.2052
  43. Seth D. Harris and Alan B. Krueger. 2015. A Proposal for Modernizing Labor Laws for Twenty-First Century Work: The “Independent Worker”. https://www.hamiltonproject.org/publication/policy-proposal/a-proposal-for-modernizing-labor-laws-for-twenty-first-century-work-the-independent-worker/
  44. Quantified Factory Worker - Expert Evaluation and Ethical Considerations of Wearable Self-tracking Devices. In Proceedings of the 22nd International Academic Mindtrek Conference (Mindtrek ’18). Association for Computing Machinery, New York, NY, USA, 202–211. https://doi.org/10.1145/3275116.3275119
  45. Brett Helling. 2019. The Best Mileage Tracker Apps for Gig Workers — Gigworker.com. https://gigworker.com/mileage-tracker/
  46. Chih-Hsing Ho and Tyng-Ruey Chuangt. 2019. Governance of Communal Data Sharing. Institute of Network Cultures, Amsterdam. Google-Books-ID: Y0vUDwAAQBAJ.
  47. Learning to Airbnb by Engaging in Online Communities of Practice. Proceedings of the ACM on Human-Computer Interaction 3, CSCW (Nov. 2019), 228:1–228:19. https://doi.org/10.1145/3359330
  48. Designing Individualized Policy and Technology Interventions to Improve Gig Work Conditions. In Proceedings of the 2nd Annual Meeting of the Symposium on Human-Computer Interaction for Work (CHIWORK ’23). Association for Computing Machinery, New York, NY, USA, 1–9. https://doi.org/10.1145/3596671.3598576
  49. A Little Too Personal: Effects of Standardization versus Personalization on Job Acquisition, Work Completion, and Revenue for Online Freelancers. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (CHI ’22). Association for Computing Machinery, New York, NY, USA, 1–11. https://doi.org/10.1145/3491102.3517546
  50. Mohammad Hossein Jarrahi and Will Sutherland. 2019. Algorithmic Management and Algorithmic Competencies: Understanding and Appropriating Algorithms in Gig Work. In Information in Contemporary Society (Lecture Notes in Computer Science), Natalie Greene Taylor, Caitlin Christian-Lamb, Michelle H. Martin, and Bonnie Nardi (Eds.). Springer International Publishing, Cham, 578–589. https://doi.org/10.1007/978-3-030-15742-5_55
  51. Platformic Management, Boundary Resources for Gig Work, and Worker Autonomy. Computer Supported Cooperative Work (CSCW) 29, 1 (Apr 2020), 153–189. https://doi.org/10.1007/s10606-019-09368-7
  52. Money talks: tracking personal finances. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI ’14). Association for Computing Machinery, New York, NY, USA, 521–530. https://doi.org/10.1145/2556288.2556975
  53. Understanding Personal Productivity: How Knowledge Workers Define, Evaluate, and Reflect on Their Productivity. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI ’19). Association for Computing Machinery, New York, NY, USA, 1–12. https://doi.org/10.1145/3290605.3300845
  54. TimeAware: Leveraging Framing Effects to Enhance Personal Productivity. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (CHI ’16). Association for Computing Machinery, New York, NY, USA, 272–283. https://doi.org/10.1145/2858036.2858428
  55. Alex Kirven. 2018. Whose Gig Is It Anyway: Technological Change, Workplace Control and Supervision, and Workers’ Rights in the Gig Economy Comments. University of Colorado Law Review 89, 1 (2018), 249–292.
  56. Working with Machines: The Impact of Algorithmic and Data-Driven Management on Human Workers. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (CHI ’15). Association for Computing Machinery, New York, NY, USA, 1603–1612. https://doi.org/10.1145/2702123.2702548
  57. Makayla Lewis and Mark Perry. 2019. Follow the Money: Managing Personal Finance Digitally. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI ’19). Association for Computing Machinery, New York, NY, USA, 1–14. https://doi.org/10.1145/3290605.3300620
  58. A Stage-Based Model of Personal Informatics Systems. CHI ’10: Proceedings of the SIGCHI conference on human factors in computing systems (Apr 2010), 557–566. https://doi.org/10.1145/1753326.1753409
  59. BeWell+: multi-dimensional wellbeing monitoring with community-guided user feedback and energy optimization. In Proceedings of the conference on Wireless Health (WH ’12). Association for Computing Machinery, New York, NY, USA, 1–8. https://doi.org/10.1145/2448096.2448106
  60. Time for Break: Understanding Information Workers’ Sedentary Behavior Through a Break Prompting System. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI ’18). Association for Computing Machinery, New York, NY, USA, 1–14. https://doi.org/10.1145/3173574.3173701
  61. What Aspects of Collaboration are Meaningful to You? Informing the Design of Self-Tracking Technologies for Collaboration. In Adjunct Proceedings of the 2022 Nordic Human-Computer Interaction Conference (NordiCHI ’22). Association for Computing Machinery, New York, NY, USA, 1–5. https://doi.org/10.1145/3547522.3547681
  62. Uncovering Gig Worker-Centered Design Opportunities in Food Delivery Work. In Proceedings of the 2023 ACM Designing Interactive Systems Conference (DIS ’23). Association for Computing Machinery, New York, NY, USA, 688–701. https://doi.org/10.1145/3563657.3596123
  63. Michael David Maffie. 2023. Becoming a pirate: Independence as an alternative to exit in the gig economy. British Journal of Industrial Relations 61, 1 (2023), 46–67. https://doi.org/10.1111/bjir.12668
  64. Andrew G. Malik. 2017. Worker Classification and the Gig-Economy. Rutgers University Law Review 69, 5 (2017), 1729–1768.
  65. Brenton J. Malin and Curry Chandler. 2017. Free to Work Anxiously: Splintering Precarity Among Drivers for Uber and Lyft. Communication, Culture and Critique 10, 2 (Jun 2017), 382–400. https://doi.org/10.1111/cccr.12157
  66. Ivan Manokha. 2020. The Implications of Digital Employee Monitoring and People Analytics for Power Relations in the Workplace. Surveillance & Society 18, 4 (Nov 2020), 540–554. https://doi.org/10.24908/ss.v18i4.13776
  67. Independent work: Choice, necessity, and the gig economy. https://www.mckinsey.com/featured-insights/employment-and-growth/independent-work-choice-necessity-and-the-gig-economy
  68. Eleonora Masiero. 2020. Accountability by the accountable self: The case of Leone Wollemborg. Accounting History 25, 1 (Feb 2020), 109–133. https://doi.org/10.1177/1032373218816494
  69. Lois McNay. 2009. Self as Enterprise: Dilemmas of Control and Resistance in Foucault’s The Birth of Biopolitics. Theory, Culture & Society 26, 6 (Nov 2009), 55–77. https://doi.org/10.1177/0263276409347697
  70. Amol Mehra. 2009. Bridging Accountability Gaps - The Proliferation of Private Military and Security Companies and Ensuring Accountability for Human Rights Violations. Pacific McGeorge Global Business & Development Law Journal 22, 2 (2009), 323–332.
  71. Software developers’ perceptions of productivity. In Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering (FSE 2014). Association for Computing Machinery, New York, NY, USA, 19–29. https://doi.org/10.1145/2635868.2635892
  72. Emerging models of data governance in the age of datafication. Big Data & Society 7, 2 (July 2020), 2053951720948087. https://doi.org/10.1177/2053951720948087
  73. Phoebe V. Moore. 2019. OSH and the Future of Work: Benefits and Risks of Artificial Intelligence Tools in Workplaces. In Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Human Body and Motion (Lecture Notes in Computer Science), Vincent G. Duffy (Ed.). Springer International Publishing, Cham, 292–315. https://doi.org/10.1007/978-3-030-22216-1_22
  74. Phoebe V. Moore and Simon Joyce. 2020. Black box or hidden abode? The expansion and exposure of platform work managerialism. Review of International Political Economy 27, 4 (Jul 2020), 926–948. https://doi.org/10.1080/09692290.2019.1627569
  75. Sarah Mosseri. 2022. Being watched and being seen: Negotiating visibility in the NYC ride-hail circuit. New Media & Society 24, 3 (Mar 2022), 600–620. https://doi.org/10.1177/1461444820966752
  76. Richard Mulgan. 2006. Government Accountability For Outsourced Services*. Australian Journal of Public Administration 65, 2 (2006), 48–58. https://doi.org/10.1111/j.1467-8500.2006.00481.x
  77. Platform-mediated Markets, Online Freelance Workers and Deconstructed Identities. Proceedings of the ACM on Human-Computer Interaction 6, CSCW2 (Nov. 2022), 367:1–367:24. https://doi.org/10.1145/3555092
  78. Sean A. Munson and Sunny Consolvo. 2012. Exploring goal-setting, rewards, self-monitoring, and sharing to motivate physical activity. In 2012 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops. 25–32. https://doi.org/10.4108/icst.pervasivehealth.2012.248691
  79. Mareike Möhlmann and Lior Zalmanson. 2017. Hands on the wheel: Navigating algorithmic management and Uber drivers’ autonomy. Seoul, South Korea, 10–13.
  80. Gemma Newlands. 2023. The algorithmic surveillance of gig workers: Mechanisms and consequences. Routledge. https://www.taylorfrancis.com/chapters/edit/10.4324/9781003161875-6/algorithmic-surveillance-gig-workers-gemma-newlands
  81. It’s not that i don’t have problems, i’m just not putting them on facebook: challenges and opportunities in using online social networks for health. In Proceedings of the ACM 2011 conference on Computer supported cooperative work (CSCW ’11). Association for Computing Machinery, New York, NY, USA, 341–350. https://doi.org/10.1145/1958824.1958876
  82. Shu-Yi Oei and Diane M. Ring. 2017a. Tax Issues in the Sharing Economy: Implications for Workers. Forthcoming, Cambridge Handbook on the Law of the Sharing Economy (Nestor M. Davidson, Michele Finck & John J. Infranca, eds.) (Dec 2017). https://doi.org/10.2139/ssrn.3167464
  83. Shu-Yi Oei and Diane M. Ring. 2017b. The Tax Lives of Uber Drivers: Evidence from Internet Discussion Forums. Columbia Journal of Tax Law 8, 1 (2017), 56–112.
  84. National Federation of Independent Business (NFIB). 2020. Guide to Independent Contractors: How to Determine a Worker’s Classification. https://assets.nfib.com/nfibcom/NFIB-Guide-to-Independent-Contractors-How-to-Determine-a-Workers-Classification.pdf
  85. Accountable Selves and Responsibility Within a Global Forum. Journal of Business Ethics (Nov 2022). https://doi.org/10.1007/s10551-022-05286-9
  86. Purposeful Sampling for Qualitative Data Collection and Analysis in Mixed Method Implementation Research. Administration and Policy in Mental Health and Mental Health Services Research 42, 5 (Sep 2015), 533–544. https://doi.org/10.1007/s10488-013-0528-y
  87. Alexi Pfeffer-Gillett. 2016. When Disruption Collides with Accountability: Holding Ridesharing Companies Liable for Acts of Their Drivers Note. California Law Review 104, 1 (2016), 233–268.
  88. Kyrill Potapov and Paul Marshall. 2020. LifeMosaic: co-design of a personal informatics tool for youth. In Proceedings of the Interaction Design and Children Conference (IDC ’20). Association for Computing Machinery, New York, NY, USA, 519–531. https://doi.org/10.1145/3392063.3394429
  89. How to Drive a London Bus: Measuring Performance in a Mobile and Remote Workplace. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (CHI ’15). Association for Computing Machinery, New York, NY, USA, 1885–1894. https://doi.org/10.1145/2702123.2702307
  90. Susan E. Provenzano. 2023. Worker Classification Conundrums in the Gig Economy Symposium - Gig Economy. University of the Pacific Law Review 54, 1 (2023), 67–81.
  91. Rida Qadri and Catherine D’Ignazio. 2022. Seeing like a driver: How workers repair, resist, and reinforce the platform’s algorithmic visions. Big Data & Society 9, 2 (Jul 2022). https://doi.org/10.1177/20539517221133780
  92. Amon Rapp and Federica Cena. 2014. Self-monitoring and Technology: Challenges and Open Issues in Personal Informatics. In Universal Access in Human-Computer Interaction. Design for All and Accessibility Practice (Lecture Notes in Computer Science), Constantine Stephanidis and Margherita Antona (Eds.). Springer International Publishing, Cham, 613–622. https://doi.org/10.1007/978-3-319-07509-9_58
  93. Chelsea Rauch. 2021. Accountability for Employers or Independence for Contractors? Accomplishing AB5’s Labor Classification Goals in the Gig Economy Notes. Seattle University Law Review 44, 2 (2021), 563–590.
  94. Noopur Raval and Paul Dourish. 2016. Standing Out from the Crowd: Emotional Labor, Body Labor, and Temporal Labor in Ridesharing. In Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing (CSCW ’16). Association for Computing Machinery, New York, NY, USA, 97–107. https://doi.org/10.1145/2818048.2820026
  95. EPM 20/20: A Review, Framework, and Research Agenda for Electronic Performance Monitoring. Journal of Management 46, 1 (Jan 2020), 100–126. https://doi.org/10.1177/0149206319869435
  96. Amelia Regan and Nicola Christie. 2022. Workers and the Post-COVID Transportation Gig Economy. Springer International Publishing, Cham, 49–59. https://doi.org/10.1007/978-3-031-00148-2_4
  97. John Ritchie and Sue Richardson. 2000. Smaller business governance: Exploring accountability and enterprise from the margins. Management Accounting Research 11, 4 (Dec 2000), 451–474. https://doi.org/10.1006/mare.2000.0144
  98. Alex Rosenblat and Luke Stark. 2016. Algorithmic Labor and Information Asymmetries: A Case Study of Uber’s Drivers. International Journal of Communication (19328036) 10 (Jan 2016), 3758–3784.
  99. Privacy, Surveillance, and Power in the Gig Economy. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (CHI ’22). Association for Computing Machinery, New York, NY, USA, 1–15. https://doi.org/10.1145/3491102.3502083
  100. Noam Scheiber. 2022. Biden Proposal Could Lead to Employee Status for Gig Workers. The New York Times (Oct 2022). https://www.nytimes.com/2022/10/11/business/economy/biden-gig-workers-contractors-employees.html
  101. Internal Revenue Service. 2022. https://www.irs.gov/newsroom/irs-increases-mileage-rate-for-remainder-of-2022
  102. Jeffrey M. Stanton. 2000. Reactions to Employee Performance Monitoring: Framework, Review, and Research Directions. Human Performance 13, 1 (Jan 2000), 85–113. https://doi.org/10.1207/S15327043HUP1301_4
  103. ‘You are you and the app. There’s nobody else.’: Building Worker-Designed Data Institutions within Platform Hegemony. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI ’23). Association for Computing Machinery, New York, NY, USA, 1–26. https://doi.org/10.1145/3544548.3581114
  104. Quantified Us: A group-in-the-loop approach to team network reconstruction. In Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers (UbiComp ’21). Association for Computing Machinery, New York, NY, USA, 502–507. https://doi.org/10.1145/3460418.3479363
  105. Jennifer D. Thayer. 2020. The Gig Worker: The Growth of the Online Platform, the Need for Universal Worker Classification, and a Reduction of the Tax Compliance Burden. In Institute for Global Business Research Conference Proceedings (1, Vol. 4). 118–123. https://www.igbr.org/wp-content/uploads/2020/05/2020-Conference-Proceedings-vol-4-no-1.pdf#page=119
  106. Kathleen DeLaney Thomas. 2018. Taxing the Gig Economy. University of Pennsylvania Law Review 166, 6 (2018), 1415–1473.
  107. A Field Study: Evaluating Gamification Approaches for Promoting Physical Activity with Motivational Models of Behavior Changes. In Human-Computer Interaction. Novel User Experiences (Lecture Notes in Computer Science), Masaaki Kurosu (Ed.). Springer International Publishing, Cham, 417–424. https://doi.org/10.1007/978-3-319-39513-5_39
  108. Quantifying the Invisible Labor in Crowd Work. Proceedings of the ACM on Human-Computer Interaction 5, CSCW2 (Oct 2021), 319:1–319:26. https://doi.org/10.1145/3476060
  109. Steven Vallas and Juliet B. Schor. 2020. What Do Platforms Do? Understanding the Gig Economy. Annual Review of Sociology 46, 1 (2020), 273–294. https://doi.org/10.1146/annurev-soc-121919-054857
  110. Niels van Doorn and Adam Badger. 2020. Platform Capitalism’s Hidden Abode: Producing Data Assets in the Gig Economy. Antipode 52, 5 (2020), 1475–1495. https://doi.org/10.1111/anti.12641
  111. The Food App is Watching You: The Relationship between Daily Algorithmic Control and Meaningful Work and the Role of Job Crafting. http://hdl.handle.net/10125/79884
  112. SnapPI: Understanding Everyday Use of Personal Informatics Data Stickers on Ephemeral Social Media. Proceedings of the ACM on Human-Computer Interaction 6, CSCW2 (Nov 2022), 539:1–539:27. https://doi.org/10.1145/3555652
  113. Jamie Woodcock and Mark Graham. 2020. The Gig Economy: A Critical Introduction. Polity. https://www.wiley.com/en-us/The+Gig+Economy%3A+A+Critical+Introduction-p-9781509536368
  114. Together But Alone: Atomization and Peer Support among Gig Workers. Proceedings of the ACM on Human-Computer Interaction 5, CSCW2 (Oct 2021), 391:1–391:29. https://doi.org/10.1145/3479535
  115. Go Gig or Go Home: Enabling Social Sensing to Share Personal Data with Intimate Partner for the Health and Wellbeing of Long-Hour workers. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (CHI ’21). Association for Computing Machinery, New York, NY, USA, 1–16. https://doi.org/10.1145/3411764.3445278
  116. Stakeholder-Centered AI Design: Co-Designing Worker Tools with Gig Workers through Data Probes. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI ’23). Association for Computing Machinery, New York, NY, USA, 1–19. https://doi.org/10.1145/3544548.3581354
  117. Algorithmic Management Reimagined For Workers and By Workers: Centering Worker Well-Being in Gig Work. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (CHI ’22). Association for Computing Machinery, New York, NY, USA, 1–20. https://doi.org/10.1145/3491102.3501866
Citations (3)

Summary

We haven't generated a summary for this paper yet.

X Twitter Logo Streamline Icon: https://streamlinehq.com

Tweets