Micro-work, artificial intelligence and the automotive industry
Open accessIntegrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
All companies with AI products require their data annotated, and the cost and labour-intensive nature of this process results in the majority of these tasks being outsourced to external providers.
“In addition, all companies with AI products require their data annotated and the cost and labour-intensive nature of this process results in the majority of these tasks being outsourced to external providers (Tubaro and Casilli 2019).”
From The poverty of ethical AI: impact sourcing and AI supply chains (2025) · cites this paper as Tubaro and Casilli 2019
A lot of human labour is needed to fill the cracks of AI.
“As sociologists of technological innovation highlight, a lot of human labour is needed to fill the cracks of AI (Gray and Suri 2019;Tubaro and Casilli 2019;Tubaro et al. 2020).”
From Artificial intelligence and work: a critical review of recent research from the social sciences (2024) · cites this paper as Tubaro and Casilli 2019
Cites
(1993) · Journal of the American Dietetic Association · doi:10.1016/0002-8223(93)91697-o · Cited by 18,452 · see citing works
The future of employment: How susceptible are jobs to computerisation?
Frey, C. B., & Osborne, M. A. (2017) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2016.08.019 · Cited by 8,727 · see citing works
Platform Competition in Two-Sided Markets
Rochet, J.-C., & Tirole, J. (2003) · Journal of the European Economic Association · doi:10.1162/154247603322493212 · Cited by 5,642 · see citing works
Braverman, H. (1974) · Monthly Review · doi:10.14452/mr-026-03-1974-07_1 · Cited by 5,505 · see citing works
The second machine age: work, progress, and prosperity in a time of brilliant technologies
(2015) · Choice Reviews Online · doi:10.5860/choice.184834 · Cited by 4,401 · see citing works
On the Principles of Political Economy, and Taxation
Ricardo, D. (2014) · Cambridge University Press eBooks · doi:10.1017/cbo9781107589421 · Cited by 4,213 · see citing works
Why Are There Still So Many Jobs? The History and Future of Workplace Automation
Autor, D. H. (2015) · Journal of Economic Perspectives · doi:10.1257/jep.29.3.3 · Cited by 3,917 · cited 1× · see citing works
“…policymakers have echoed the dire job loss predictions of a few prospective studies (Brynjolfsson and McAfee 2014; Frey and Osborne 2017), although historical evidence suggests that dynamics of complementarity rather than substitution between labor and machinery might also be in place (Autor 2015).”
BackgroundLabor and Monopoly Capital: The Degradation of Work in the Twentieth Century.
Tomich, D., & Braverman, H. (1976) · Contemporary Sociology A Journal of Reviews · doi:10.2307/2063071 · Cited by 2,998 · see citing works
Layers of Silence, Arenas of Voice: The Ecology of Visible and Invisible Work
Star, S. L., & Strauss, A. (1999) · Computer Supported Cooperative Work (CSCW) · doi:10.1023/a:1008651105359 · Cited by 1,500 · see citing works
The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies.
West, J. C. (2015) · Psychiatry · doi:10.1080/00332747.2015.1105632 · Cited by 1,415 · see citing works
Graham, M., Hjorth, I., & Lehdonvirta, V. (2017) · Transfer: European Review of Labour and Research · doi:10.1177/1024258916687250 · Cited by 1,089 · see citing works
(2018) · Cited by 544 · see citing works
Demographics and Dynamics of Mechanical Turk Workers
Difallah, D. E., Filatova, E., & Ipeirotis, P. G. (2018) · ACM International Conference on Web Search and Data Mining (WSDM) · doi:10.1145/3159652.3159661 · Cited by 512 · see citing works
Difference and Dependence among Digital Workers: The Case of Amazon Mechanical Turk
Irani, L. (2015) · South Atlantic Quarterly · doi:10.1215/00382876-2831665 · Cited by 367 · see citing works
The Global Platform Economy: A New Offshoring Institution Enabling Emerging-Economy Microproviders
Lehdonvirta, V., kässi, O., Hjorth, I., Barnard, H. C., & Graham, M. (2018) · Journal of Management · doi:10.1177/0149206318786781 · Cited by 317 · see citing works
The Global Opportunity in Online Outsourcing
Kuek, S. C., Paradi-Guilford, C., Fayomi, T., Imaizumi, S., Ipeirotis, P. G., Pina, P., & Singh, M. (2015) · World Bank, Washington, DC eBooks · doi:10.1596/22284 · Cited by 306 · see citing works
Heteromation, and Other Stories of Computing and Capitalism
Ekbia, H. R., & Nardi, B. A. (2017) · doi:10.7551/mitpress/10767.001.0001 · Cited by 285 · see citing works
Digital Labor Studies Go Global: Toward a Digital Decolonial Turn
Casilli, A. A. (2017) · HAL · Cited by 120 · see citing works
Self-citationKarl Marx in the Age of Big Data Capitalism
Fuchs, C. (2019) · University of Westminster Press eBooks · doi:10.16997/book29.d · Cited by 65 · see citing works
Le moment big data des sciences sociales
Bastin, G., & Tubaro, P. (2018) · Revue Française de Sociologie · doi:10.3917/rfs.593.0375 · Cited by 51 · see citing works
Self-citationEn attendant les robots enquête sur le travail du clic
Casilli, A. A., & Méda, D. 1. (2019) · HAL (Le Centre pour la Communication Scientifique Directe) · Cited by 43 · see citing works
Self-citationThe Humans Working Behind the AI Curtain
Gray, M. L., & Suri, S. (2019) · Harvard business review · Cited by 17 · see citing works
Crowdproduktion von Trainingsdaten: Zur Rolle von Online-Arbeit beim Trainieren autonomer Fahrzeuge
Schmidt, F. (2019) · RePEc: Research Papers in Economics · Cited by 11 · see citing works
Nutzung von Crowdworking durch Unternehmen: Ergebnisse einer ZEW Unternehmensbefragung
Ohnemus, J., Erdsiek, D., & Viete, S. (2016) · Social Science Open Access Repository (GESIS – Leibniz Institute for the Social Sciences) · Cited by 4 · see citing works
How many people microwork in France? Estimating the size of a new labor forcePreprint
Ludec, C. L., Tubaro, P., & Casilli, A. A. (2019) · arXiv (Cornell University) · Cited by 4 · see citing works
Self-citation
Flagged first, then by citations
1 of the 26 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Tubaro, P., Casilli, A. A., & Coville, M. (2020) · Big Data & Society · doi:10.1177/2053951720919776 · Cited by 262 · see citing works
Self-citationThe ethical debate about the gig economy: A review and critical analysis
Tan, Z. M., Aggarwal, N., Cowls, J., Morley, J., Taddeo, M., & Floridi, L. (2021) · Technology in Society · doi:10.1016/j.techsoc.2021.101594 · Cited by 225 · see citing works
Vergne, J. (2020) · Organization Theory · doi:10.1177/2631787720977052 · Cited by 188 · see citing works
Artificial intelligence, firms and consumer behavior: A survey
Abrardi, L., Cambini, C., & Rondi, L. (2019) · Journal of Economic Surveys · doi:10.1111/joes.12455 · Cited by 212 · see citing works
Digitalization, routineness and employment: An exploration on Italian task-based data
Cirillo, V., Evangelista, R., Guarascio, D., & Sostero, M. (2020) · Research Policy · doi:10.1016/j.respol.2020.104079 · Cited by 148 · see citing works
Humanly Extended Automation or the Future of Work Seen through Amazon Patents
Delfanti, A., & Frey, B. (2020) · Science Technology & Human Values · doi:10.1177/0162243920943665 · Cited by 139 · see citing works
Artificial Intelligence in the Colonial Matrix of Power
Muldoon, J., & Wu, B. A. (2023) · Philosophy & Technology · doi:10.1007/s13347-023-00687-8 · Cited by 148 · see citing works
Birhane, A., & van Dijk, J. (2020) · Proceedings of the AAAI/ACM Conference on AI Ethics and Society · doi:10.1145/3375627.3375855 · Cited by 123 · see citing works
Artificial intelligence and work: a critical review of recent research from the social sciences
Deranty, J.-P., & Corbin, T. (2024) · AI & SOCIETY · doi:10.1007/s00146-022-01496-x · Cited by 118 · see citing works
“Empirical research about platform work (Tubaro et al. 2020; Casilli 2019; Tubaro and Casilli 2019) illustrates how difficult it is to keep in view all aspects of it at once.”
Digital inequalities 3.0: Emergent inequalities in the information age
Robinson, L., Schulz, J., Dunn, H. S., Casilli, A. A., Tubaro, P., Carvath, R., Chen, W., Wiest, J. B., Dodel, M., Stern, M. J., et al. (2020) · First Monday · doi:10.5210/fm.v25i7.10844 · Cited by 106 · see citing works
Self-citationNot so disruptive yet? Characteristics, distribution and determinants of robots in Europe
Fernández‐Macías, E., Klenert, D., & Antón, J. (2021) · Structural Change and Economic Dynamics · doi:10.1016/j.strueco.2021.03.010 · Cited by 78 · see citing works
The poverty of ethical AI: impact sourcing and AI supply chains
Muldoon, J., Cant, C., Graham, M., & Ustek Spilda, F. (2025) · AI & SOCIETY · doi:10.1007/s00146-023-01824-9 · Cited by 70 · see citing works
“In addition, all companies with AI products require their data annotated and the cost and labour-intensive nature of this process results in the majority of these tasks being outsourced to external providers (Tubaro and Casilli 2019).”
Automotive OEM Demand Forecasting: A Comparative Study of Forecasting Algorithms and Strategies
Rožanec, J. M., Kažič, B., Škrjanc, M., Fortuna, B., & Mladenić, D. (2021) · Applied Sciences · doi:10.3390/app11156787 · Cited by 69 · see citing works
Lifting the curtain: Strategic visibility of human labour in AI-as-a-Service
Newlands, G. (2021) · Big Data & Society · doi:10.1177/20539517211016026 · Cited by 66 · see citing works
Cannavale, C., Esempio, A., Leone, D., & Schiavone, F. (2022) · European Journal of Innovation Management · doi:10.1108/ejim-08-2021-0378 · Cited by 67 · see citing works
Knowledge graph-based rich and confidentiality preserving Explainable Artificial Intelligence (XAI)
Rožanec, J. M., Fortuna, B., & Mladenić, D. (2021) · Information Fusion · doi:10.1016/j.inffus.2021.11.015 · Cited by 56 · see citing works
Disembedded or Deeply Embedded? A Multi-Level Network Analysis of Online Labour Platforms
Tubaro, P. (2021) · Sociology · doi:10.1177/0038038520986082 · Cited by 53 · see citing works
Self-citationAI for Everyone? Critical Perspectives
Verdegem, P., Kaplan, A., Hofkirchner, W., Ng, J., McQuillan, D., Rehak, R., Daly, A., Devit, S. K., Mann, M., Steinhoff, J., et al. (2021) · University of Westminster Press eBooks · doi:10.16997/book55 · Cited by 55 · see citing works
A typology of artificial intelligence data work
Muldoon, J., Cant, C., Wu, B., & Graham, M. (2024) · Big Data & Society · doi:10.1177/20539517241232632 · Cited by 50 · see citing works
Review of Artificial Intelligence Applied in Decision-Making Processes in Agricultural Public Policy
Céspedes, J. M. S., Miranda, J. P. R., & Espitia, H. (2020) · Processes · doi:10.3390/pr8111374 · Cited by 48 · see citing works
Kim, S. (2023) · Journal of Innovation & Knowledge · doi:10.1016/j.jik.2023.100355 · Cited by 47 · see citing works
Asif, M., & Gouqing, Z. (2024) · Discover Artificial Intelligence · doi:10.1007/s44163-024-00134-3 · Cited by 37 · see citing works
RetractedArtificial intelligence in social science: A study based on bibliometrics analysis
Gutiérrez, J. J. P., Segado‐Boj, F., & França, F. D. S. (2023) · Human Technology · doi:10.14254/1795-6889.2023.19-2.1 · Cited by 34 · see citing works
Raza, S. A., Govindaluri, S. M., & Bhutta, M. K. S. (2022) · Benchmarking An International Journal · doi:10.1108/bij-12-2021-0755 · Cited by 37 · see citing works
Fanti, L., Guarascio, D., & Moggi, M. (2022) · Journal of Industrial and Business Economics · doi:10.1007/s40812-022-00222-4 · Cited by 37 · see citing works
The unwitting labourer: extracting humanness in AI training
Morreale, F., Bahmanteymouri, E., Burmester, B., Chen, A. T.-Y., & Thorp, M. (2023) · AI & Society · doi:10.1007/s00146-023-01692-3 · Cited by 31 · see citing works
Counting ‘micro-workers’: societal and methodological challenges around new forms of labour
Tubaro, P., Ludec, C. L., & Casilli, A. A. (2020) · Work Organisation Labour & Globalisation · doi:10.13169/workorgalaboglob.14.1.0067 · Cited by 29 · see citing works
Self-citationWho Bears the Burden of a Pandemic? COVID-19 and the Transfer of Risk to Digital Platform Workers
Tubaro, P., & Casilli, A. A. (2022) · American Behavioral Scientist · doi:10.1177/00027642211066027 · Cited by 29 · see citing works
Self-citationHidden inequalities: the gendered labour of women on micro-tasking platforms
Tubaro, P., Coville, M., Ludec, C. L., & Casilli, A. A. (2022) · Internet Policy Review · doi:10.14763/2022.1.1623 · Cited by 29 · see citing works
Self-citationThe Dark Side of Dataset Scaling: Evaluating Racial Classification in Multimodal Models
Birhane, A., Dehdashtian, S., Prabhu, V., & Boddeti, V. (2024) · The 2024 ACM Conference on Fairness, Accountability, and Transparency · doi:10.1145/3630106.3658968 · Cited by 28 · see citing works
UBERIZAÇÃO DO TRABALHO: A PERCEPÇÃO DOS MOTORISTAS DE TRANSPORTE PARTICULAR POR APLICATIVO
Moraes, R. B. D. S., de Oliveira, M. A. G., & Accorsi, A. (2019) · Revista Brasileira de Estudos Organizacionais · doi:10.21583/2447-4851.rbeo.2019.v6n3.216 · Cited by 28 · see citing works
Beyond Mechanical Turk: The Work of Brazilians on Global AI Platforms
Grohmann, R., & Araújo, W. F. (2021) · AI for Everyone? Critical Perspectives · doi:10.16997/book55.n · Cited by 27 · see citing works
Mapping the prestige and social value of occupations in the digital economy
Newlands, G., & Lutz, C. (2024) · Journal of Business Research · doi:10.1016/j.jbusres.2024.114716 · Cited by 29 · see citing works
Studying Up Machine Learning Data: Why Talk About Bias When We Mean Power?Preprint
Miceli, M., Posada, J., & Yang, T. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2109.08131 · Cited by 25 · see citing works
Gonthier, N., Ladjal, S., & Gousseau, Y. (2021) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2021.103299 · Cited by 26 · see citing works
Shi, J., & Wang, Y. (2024) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2024.3355235 · Cited by 27 · see citing works
Waiting for robots: the ever-elusive myth of automation and the global exploitation of digital labor
Casilli, A. A. (2021) · Sociologias · doi:10.1590/15174522-114092 · Cited by 21 · see citing works
Self-citationVanishing social classes? Facts and figures of the Italian labour market
Cetrulo, A., Sbardella, A., & Virgillito, M. E. (2022) · Journal of Evolutionary Economics · doi:10.1007/s00191-022-00793-4 · Cited by 17 · see citing works
Laabid, Z., Moumen, A., Mansouri, K., & Siadat, A. (2022) · IAES International Journal of Artificial Intelligence · doi:10.11591/ijai.v12.i1.pp155-161 · Cited by 18 · see citing works
Heteromação e microtrabalho no Brasil
Braz, M. V. (2021) · Sociologias · doi:10.1590/15174522-111017 · Cited by 20 · see citing works
Debunking robot rights metaphysically, ethically, and legally
Birhane, A., van Dijk, J., & Pasquale, F. (2024) · First Monday · doi:10.5210/fm.v29i4.13628 · Cited by 15 · see citing works
Cyber-Creativity: A Decalogue of Research Challenges
Corazza, G. E., Agnoli, S., Jorge Artigau, A., Beghetto, R. A., Bonnardel, N., Coletto, I., Faiella, A., Gerardini, K., Gilhooly, K., Glăveanu, V. P., et al. (2025) · Journal of Intelligence · doi:10.3390/jintelligence13080103 · Cited by 14 · see citing works
Artificial Intelligence in Economics Research: What Have We Learned? What Do We Need to Learn?
Bahoo, S., Goodell, J. W., Rhattat, R., & Shahid, S. (2025) · Journal of Economic Surveys · doi:10.1111/joes.12694 · Cited by 19 · see citing works
Agrarian Platform Capitalism: Digital Rentiership Comes to Farming
Reisman, E., Fairbairn, M., & Kish, Z. (2024) · Antipode · doi:10.1111/anti.13107 · Cited by 14 · see citing works
Artificial Intelligence Applications in English Language Teaching: A Short Survey
Mijwil, M. M., Abdulrhman, S. H., Abttan, R. A., Faieq, A. K., & Alkhazraji, A. (2023) · Asian Journal of Applied Sciences · doi:10.24203/ajas.v10i6.7111 · Cited by 13 · see citing works
Annamalai, S., & Vasunandan, A. (2024) · Central European Management Journal · doi:10.1108/cemj-03-2023-0137 · Cited by 15 · see citing works
Hossain, M. N., Rahim, M. A., Rahman, M. M., & Ramasamy, D. (2025) · Computers, materials & continua/Computers, materials & continua (Print) · doi:10.32604/cmc.2025.061749 · Cited by 20 · see citing works
Global data empires: Analysing artificial intelligence data annotation in China and the USA
Wu, T., Muldoon, J., & Xia, B. (2025) · Big Data & Society · doi:10.1177/20539517251340600 · Cited by 12 · see citing works
Construire la « compréhension » d’une machine
Esteban, C. (2020) · Réseaux · doi:10.3917/res.220.0195 · Cited by 11 · see citing works
Marà, C., & Pulignano, V. (2022) · SOCIOLOGIA DEL LAVORO · doi:10.3280/sl2022-163007 · Cited by 11 · see citing works
Learners in the loop: hidden human skills in machine intelligence
Tubaro, P. (2022) · SOCIOLOGIA DEL LAVORO · doi:10.3280/sl2022-163006 · Cited by 10 · see citing works
Self-citationThe Making of Performative Accuracy in AI Training: Precision Labor and Its Consequences
Zhang, B. Z., Yang, T., Miceli, M., Haimson, O. L., & Thomas, M. (2025) · Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713112 · Cited by 7 · see citing works
The politics of artificial intelligence supply chains
Muldoon, J., Valdivia, A., & Badger, A. (2025) · AI & Society · doi:10.1007/s00146-025-02625-y · Cited by 10 · see citing works
Creţu, R. F., Țuțui, D., Banta, V.-C., Şerban, E. C., Barna, L. E., & CREŢU, R. C. (2024) · Amfiteatru Economic · doi:10.24818/ea/2024/67/801 · Cited by 7 · see citing works
Artificial intelligence and the digitalization of finance in Latin America: evidence from Brazil
Paraná, E. (2024) · Globalizations · doi:10.1080/14747731.2024.2415257 · Cited by 5 · see citing works
Behind the Scenes of Automation: Ghostly Care-Work, Maintenance, and Interferences
Boeva, Y., Berger, A., Bischof, A., Doggett, O., Heuer, H., Jarke, J., Treusch, P., Søraa, R. A., Tacheva, Z., & Voigt, M.-L. (2023) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3544549.3573830 · Cited by 7 · see citing works
Grohmann, R., & Araújo, W. F. (2021) · Palabra Clave · doi:10.5294/pacla.2021.24.3.8 · Cited by 7 · see citing works
Making decisions: the normal interventions of Nissan ‘mobility managers’
Hind, S. (2021) · Mobilities · doi:10.1080/17450101.2021.1988682 · Cited by 6 · see citing works
Artificial Intelligence and employment: a systematic review
de Acypreste, R., & Paraná, E. (2022) · Brazilian Journal of Political Economy · doi:10.1590/0101-31572022-3320 · Cited by 6 · see citing works
Raharno, S., & Yosephine, V. S. (2023) · International Journal on Interactive Design and Manufacturing (IJIDeM) · doi:10.1007/s12008-023-01567-3 · Cited by 6 · see citing works
Bogoviz, A. V., Kurilova, A. A., Kozhanova, T. E., & Sozinova, A. A. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-818906-1.00010-3 · Cited by 6 · see citing works
Productivity slowdown across European regions: does non-standard work matter?
Capriati, M., Cirillo, V., & Divella, M. (2024) · Regional Studies · doi:10.1080/00343404.2023.2281428 · Cited by 5 · see citing works
La discriminación en una sociedad automatizada: Contribuciones desde América Latina
Gutiérrez, C. M. (2021) · Revista Chilena de Derecho y Tecnología · doi:10.5354/0719-2584.2021.58793 · Cited by 5 · see citing works
Analysis of Multimodal Teaching of College English under the Background of Artificial Intelligence
Niu, L. (2022) · Security and Communication Networks · doi:10.1155/2022/3833106 · Cited by 5 · see citing works
RetractedNiewidzialni pracownicy, czyli kto stoi za sztuczną inteligencją
Potocka-Sionek, N. (2022) · Studia z Zakresu Prawa Pracy i Polityki Społecznej · doi:10.4467/25444654spp.22.010.15684 · Cited by 5 · see citing works
Understanding digital sweatshops: A qualitative investigation of workers’ perspectives
Kamila, M. K., Jasrotia, S. S., & Kushwaha, P. S. (2024) · Asian Journal of Business Ethics · doi:10.1007/s13520-024-00210-y · Cited by 4 · see citing works
The Factory of the Future? The Contradictory Restructuring of an Assembly Line in France
Carbonell, J. S. (2020) · SOCIOLOGIA DEL LAVORO · doi:10.3280/sl2020-158006 · Cited by 4 · see citing works
The evaluation of AI integration in innovative digital marketing strategies
Efendi̇oğlu, İ. H. (2023) · Pressacademia · doi:10.17261/pressacademia.2023.1820 · Cited by 4 · see citing works
Analysis of the Attitude of Hungarian HR Professionals to Artificial Intelligence
Karácsony, P. (2022) · Our Economy Journal of Contemporary Issues in Economics and Business · doi:10.2478/ngoe-2022-0011 · Cited by 6 · see citing works
Reactive or Stable: A Plant-inspired Approach for Organisation Morphogenesis
Zahadat, P., & Diaconescu, A. (2020) · Conference on Artificial Life (ALIFE) · doi:10.1162/isal_a_00244 · Cited by 4 · see citing works
From senses to sensors: autonomous cars and probing what machine learning does to mobilities studies
Mukhtar‐Landgren, D., & Paulsson, A. (2023) · Distinktion Journal of Social Theory · doi:10.1080/1600910x.2023.2186819 · Cited by 3 · see citing works
Forecast of Staffing Needs for the Artificial Intelligence Sector in Russia
Олегович, А. А., Степусь, И. С., & Gurtov, V. A. (2023) · Studies on Russian Economic Development · doi:10.1134/s1075700723010021 · Cited by 4 · see citing works
Role of artificial intelligence in smart manufacturing of automobile industry in India
Gaikwad, S. R. (2024) · AIP conference proceedings · doi:10.1063/5.0229368 · Cited by 3 · see citing works
Gig Sector in the African Economy: Frameworks, Challenges and Prospects
Nwaobi, G. (2025) · Journal of Global Sustainability and Development (JGSD) · doi:10.57017/jgsd.v2.i2.05 · Cited by 3 · see citing works
Demlehner, Q., Schoemer, D., & Laumer, S. (2021) · Future of business and finance · doi:10.1007/978-3-030-82003-9_11 · Cited by 3 · see citing works
Vehicle health monitoring and accident avoidance system based on IoT model
Muthumanickam, A., Gomathy, B., & Chakrapani, V. (2022) · Journal of Intelligent & Fuzzy Systems · doi:10.3233/jifs-222719 · Cited by 3 · see citing works
RetractedInfrastrutture digitali, governance e trasformazioni del lavoro
Musiani, F. (2022) · SOCIOLOGIA DEL LAVORO · doi:10.3280/sl2022-163004 · Cited by 3 · see citing works
Likhitkar, B., Pillai, B., & Parasher, S. (2024) · International Conference on Cybernation and Computation (CYBERCOM) · doi:10.1109/cybercom63683.2024.10803156 · Cited by 3 · see citing works
Trentesaux, D., Rault, R., Caillaud, E., & Huftier, A. (2021) · Studies in computational intelligence · doi:10.1007/978-3-030-69373-2_17 · Cited by 3 · see citing works
Unwrapping Cobol: Lessons in Crisis Computing
Ritasdatter, L. H. (2020) · doi:10.24834/isbn.9789178771165 · Cited by 3 · see citing works
Pouliakas, K., & Ranieri, A. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4129672 · Cited by 3 · see citing works
Machine Intelligence in Africa: a surveyPreprint
Tembiné, H., Tapo, A. A., Danioko, S., & Traoré, A. (2024) · doi:10.36227/techrxiv.170555182.20418305/v1 · Cited by 3 · see citing works
Machine Learning in Medical Systems
Hu, W. (2024) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780197653609.013.28 · Cited by 2 · see citing works
Wirth, A., Ludec, C. L., Girard-Chanudet, C., & Cornet, M. (2025) · Digital Society · doi:10.1007/s44206-025-00224-4 · Cited by 2 · see citing works
Digital economy labor in the quality era: a socio-technical and biblio-scientometric mapping
Ardeshir, A., & Shahin, A. (2025) · The TQM Journal · doi:10.1108/tqm-08-2024-0317 · Cited by 2 · see citing works
Travail, formation, numérique : quels formateurs pour quels apprentissages ?
Gagneur, C.-A. (2023) · Education permanente · doi:10.3917/edpe.234.0179 · Cited by 2 · see citing works
Automating the manufacturing process of control cables for the automotive components industry
Pinto, J. P. M., Campilho, R. D. S. G., & Silva, F. J. G. (2024) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-024-14844-6 · Cited by 1 · see citing works
Microwork as a development project: An ethnographic study of data annotators in Guizhou, China
Huang, Y., & Kuang, Y. (2025) · World Development · doi:10.1016/j.worlddev.2025.107187 · Cited by 1 · see citing works
‘In a Pinch, If You Have Nothing’: An Exploration of Money-Making Apps in Homeless Shelters
Jang, E., Ardeni, A., Choden, K., Webster, J. R., Young, J. C., & Heimerl, K. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3791541 · Cited by 1 · see citing works
Thing Ethnography in a Factory: Exploring Emergent and Dynamic Relations of Cobots and Workers
Cho, H., Seo, J. A., Sohn, Y., & Lee, H. R. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3790576 · Cited by 1 · see citing works
Les Learning Analytics vus par la sociologie
Tubaro, P. (2019) · Distances et médiations des savoirs · doi:10.4000/dms.4608 · Cited by 1 · see citing works
Self-citationAnalysis of TuSimple’s Investment Value
Dong, J., Jiang, J., Luo, Z., & Xu, Y. (2022) · Advances in economics, business and management research/Advances in Economics, Business and Management Research · doi:10.2991/978-94-6463-052-7_8 · Cited by 1 · see citing works
Shan, Z., Haq, A. U., Butt, U., Habib, F., Jamal, A., & Khan, M. F. (2023) · Emerald Group Publishing Limited eBooks · doi:10.1108/978-1-83753-022-920231009 · Cited by 1 · see citing works
Chouikh, A., Khechine, H., & Gagnon, M.-P. (2023) · Hawaii International Conference on System Sciences (HICSS) · doi:10.24251/hicss.2023.209 · Cited by 1 · see citing works
Bhaldar, N. A., & Lokesh, L. (2024) · World Journal of Advanced Research and Reviews · doi:10.30574/wjarr.2024.22.1.1160 · Cited by 1 · see citing works
From United Steel to Waymo: industrializing simulation
Hind, S. (2024) · AI & Society · doi:10.1007/s00146-024-02051-6 · Cited by 1 · see citing works
Platform workers in Italy: an empirical exploration on worker-level data
Cirillo, V., Guarascio, D., & Scicchitano, S. (2019) · Cited by 1 · see citing works
Model of Commercialization of University’s Innovations Based on AI
Sitnikova, S. E., Polusmakova, N. S., & Golovetsky, N. Y. (2020) · Advances in intelligent systems and computing · doi:10.1007/978-3-030-39319-9_46 · Cited by 1 · see citing works
(2021) · World Employment and Social Outlook · doi:10.1002/wow3.173
Hind, S. (2021) · Digitale Gesellschaft · doi:10.14361/9783839450246-010
- Authors
- Tubaro, P., & Casilli, A. A.
- Affiliations
- Université Paris-Sud (FR)
- Télécom Paris (FR)
- Corresponding author
- Tubaro, Paola
- Venue
- Journal of Industrial and Business Economics
- Published
- 2019-06-05
- Volume
- 46
- Issue
- 3
- Pages
- 333-345
- ISSN
- 0391-2078 (ISSN-L)
- 1972-4977
- OpenAlex
- W2948141579
- Cited by
- 122
- References
- 26
- Citations by year
- 2026: 6 · 2025: 16 · 2024: 24 · 2023: 16 · 2022: 20 · 2021: 21 · 2020: 16 · 2019: 3
- FWCI
- 30.21
- Type
- journal article
- Language
- en
- Open access
- green
- hal.science
- Licence
- Locations
- Journal of Industrial and Business Economics (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- HAL (submittedVersion, other-oa)
- Funders
- Force Ouvrière-IRES (2017-3)
- France Stratégie (2018)
- MSH Paris Saclay (17MA07)
- Topics
- Social Sciences › Sociology and Political Science › Digital Economy and Work Transformation
- Social Sciences › Business, Management and Accounting › Industrial relations › Legal and Labor Studies
- Social Sciences › Business, Management and Accounting › Strategy and Management › Global trade, sustainability, and social impact
- Keywords
- artificial intelligence, data annotation, low-skilled labor, automotive industry, autonomous vehicles, connected vehicles, AI training data, digital platforms, global supply chains, gig economy
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review