lindseysschwartz
commented
1 year ago policy
Wolf (2022). City Power in the Age of Silicon Valley: Evaluating Municipal Regulatory Response to the Entry of Uber to the American City ... https://journals.sagepub.com/doi/pdf/10.1177/15356841211066931Inversi, C., Dundon, T., & Buckley, L.-A. (2022). Work in the Gig-Economy: The Role of the State and Non-State Actors Ceding and Seizing Regulatory Space. Work, Employment and Society, 0(0). https://doi.org/10.1177/09500170221080387- Nooren, P., van Gorp, N., van Eijk, N. and Fathaigh, R.Ó. (2018), Should We Regulate Digital Platforms? A New Framework for Evaluating Policy Options. Policy & Internet, 10: 264-301. https://doi.org/10.1002/poi3.177
- Voytenko Palgan, Y., Mont, O., & Sulkakoski, S. (2021). Governing the sharing economy: Towards a comprehensive analytical framework of municipal governance. Cities, 108, 102994. https://doi.org/10.1016/j.cities.2020.102994
- Barile, S., Ciasullo, M. V., Iandolo, F., & Landi, G. C. (2021). The city role in the sharing economy: Toward an integrated framework of practices and governance models. Cities, 119, 103409. https://doi.org/10.1016/j.cities.2021.103409
- note content analysis approach
- Anzia, S. F. (2022). Local Interests: Politics, Policy, and Interest Groups in US City Governments. University of Chicago Press.
- Modan, G., & Wells, K. J. (2022). Signs at work: New labor relations and structures of feeling in Washington, D.C.’s Covid landscape. Linguistic Landscape. An International Journal, 8(2–3), 281–298. https://doi.org/10.1075/ll.21041.mod
- Tzur, A. (2019). Uber Über regulation? Regulatory change following the emergence of new technologies in the taxi market. Regulation & Governance, 13(3), 340–361. https://doi.org/10.1111/rego.12170
- see also for methods / data
workers/tactics
Chan, N. K. (2022). Algorithmic precarity and metric power: Managing the affective measures and customers in the gig economy. Big Data & Society, 9(2). https://doi.org/10.1177/20539517221133779- Qadri, R., & D’Ignazio, C. (2022). Seeing like a driver: How workers repair, resist, and reinforce the platform’s algorithmic visions. Big Data & Society, 9(2). https://doi.org/10.1177/20539517221133780
Bonini, T., Treré, E., Yu, Z., Singh, S., Cargnelutti, D., & López-Ferrández, F. J. (2023). Cooperative affordances: How instant messaging apps afford learning, resistance and solidarity among food delivery workers. Convergence: The International Journal of Research into New Media Technologies, 135485652311535. https://doi.org/10.1177/13548565231153505- Vasudevan, K., & Chan, N. K. (2022). Gamification and work games: Examining consent and resistance among Uber drivers. New Media & Society, 24(4), 866–886. https://doi.org/10.1177/14614448221079028
- Lee, M. K., Kusbit, D., Metsky, E., & Dabbish, L. (2015). Working with Machines: The Impact of Algorithmic and Data-Driven Management on Human Workers. Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, 1603–1612. https://doi.org/10.1145/2702123.2702548
- Fiers, F. (2023). Inequality and discrimination in the online labor market: A scoping review. New Media & Society, 14614448221151200. https://doi.org/10.1177/14614448221151200
- Schou & Boucher (2022). Divided we fall: The breakdown of gig worker solidarity in online communities. https://doi.org/10.1111/ntwe.12260
- Mosseri, S. (2022). Being watched and being seen: Negotiating visibility in the NYC ride-hail circuit. New Media & Society, 24(3), 600–620. https://doi.org/10.1177/1461444820966752
organizing
Maffie, M. D. (2022). The global ‘hot shop’: COVID-19 as a union organising catalyst. Industrial Relations Journal, 53( 3), 207– 219. https://doi.org/10.1111/irj.12367- Woodcock, J., & Cant, C. (2022). Platform Worker Organising at Deliveroo in the UK: From Wildcat Strikes to Building Power, Journal of Labor and Society, 25(2), 220-236. doi: https://doi.org/10.1163/24714607-bja10050
- ~~Garrick, J. (2021). How Worker Centers Organize Low-Wage Workers: An Exploration of Targets and Strategies. Labor Studies Journal, 46(2), 134–157. https://doi.org/10.1177/0160449X21989429
- (maybe) Ruben J. Garcia, Building Worker Collective Action Through Technology, 65 St. Louis U. L.J. (2020). Available at: https://scholarship.law.slu.edu/lj/vol65/iss1/4~~
- Tandon, U., Khovanskaya, V., Arcilla, E., Hussein, M. H., Zschiesche, P., & Irani, L. (2022). Hostile Ecologies: Navigating the Barriers to Community-Led Innovation.
data gov
Dencik, L. 2021. Towards Data Justice Unionism? A Labour Perspective on AI Governance. In: Verdegem, P. (ed.) AI for Everyone? Critical Perspectives. Pp. 267–284. London: University of Westminster Press. DOI: https://doi.org/10.16997/book55.o.- Bernhardt, A., Kresge, L., & Suleiman, R. (2021). Data and Algorithms at Work: The Case for Worker Technology Rights (p. 46). UC Berkeley Labor Center.
Dubal, Veena, On Algorithmic Wage Discrimination (January 19, 2023). Available at SSRN: https://ssrn.com/abstract=4331080- Nicholas Vincent, Brent Hecht, and Shilad Sen. 2019. “Data Strikes”: Evaluating the Effectiveness of a New Form of Collective Action Against Technology Companies. In The World Wide Web Conference (WWW '19). Association for Computing Machinery, New York, NY, USA, 1931–1943. https://doi.org/10.1145/3308558.3313742
and
- other chapters in #33
- The Routledge handbook of the gig economy (access TBD)
- one open access chapter: van Doorn. "Liminal Precarity and Compromised Agency: Migrant experiences of gig work in Amsterdam, Berlin, and New York City" https://directory.doabooks.org/handle/20.500.12854/92317
- plat coop research reports: https://platform.coop/blog/icde-cohort-2021-2022-read-the-research-reports/
running list of readings for meetings