The platform belongs to those who work on it! Co-designing worker-centric task distribution models

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dc.conference.date2021/09
dc.conference.placeMadrid
dc.conference.title17th International Symposium on Open Collaboration (OpenSym 2021)
dc.contributor.authorRozas Domingo, David
dc.contributor.authorSaldivar, Jorge
dc.contributor.authorZelickson, Eve
dc.date.accessioned2023-06-16T14:48:22Z
dc.date.available2023-06-16T14:48:22Z
dc.date.issued2021-09-15
dc.description.abstractToday, digital platforms are increasingly mediating our day-to-day work and crowdsourced forms of labour are progressively gaining importance (e.g. Amazon Mechanical Turk, Universal Human Relevance System, TaskRabbit). In many popular cases of crowdsourcing, a volatile, diverse, and globally distributed crowd of workers compete among themselves to find their next paid task. The logic behind the allocation of these tasks typically operates on a "First-Come, First-Served" basis. This logic generates a competitive dynamic in which workers are constantly forced to check for new tasks. This article draws on findings from ongoing collaborative research in which we co-design, with crowdsourcing workers, three alternative models of task allocation beyond "First-Come, First-Served", namely (1) round-robin, (2) reputation-based, and (3) content-based. We argue that these models could create fairer and more collaborative forms of crowd labour. We draw on Amara On Demand, a remuneration-based crowdsourcing platform for video subtitling and translation, as the case study for this research. Using a multi-modal qualitative approach that combines data from 10 months of participant observation, 25 semi-structured interviews, two focus groups, and documentary analysis, we observed and co-designed alternative forms of task allocation in Amara on Demand. The identified models help envision alternatives towards more worker-centric crowdsourcing platforms, understanding that platforms depend on their workers, and thus ultimately they should hold power within them.
dc.description.departmentDepto. de Ingeniería de Software e Inteligencia Artificial (ISIA)
dc.description.facultyFac. de Informática
dc.description.refereedTRUE
dc.description.sponsorshipUnión Europea. Horizonte 2020
dc.description.sponsorshipMinisterio de Ciencia e Innovación (MICINN)
dc.description.statusinpress
dc.eprint.idhttps://eprints.ucm.es/id/eprint/67612
dc.identifier.officialurlhttp://dx.doi.org/10.1145/3479986.3479987
dc.identifier.urihttps://hdl.handle.net/20.500.14352/5101
dc.language.isoeng
dc.page.final12
dc.page.initial1
dc.relation.projectIDP2PMODELS (759207)
dc.relation.projectIDRTI2018-096820-A-100
dc.rightsAtribución 3.0 España
dc.rights.accessRightsopen access
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/es/
dc.subject.cdu004.7
dc.subject.cdu004.4
dc.subject.cdu316
dc.subject.keywordcrowdsourcing
dc.subject.keyworddigital labour
dc.subject.keyworddistribution of value
dc.subject.keywordfuture of work
dc.subject.keywordhuman computation
dc.subject.keywordplatform economy
dc.subject.keywordtask allocation
dc.subject.keywordworkercentric platforms
dc.subject.ucmRedes
dc.subject.ucmSoftware
dc.subject.ucmSociología
dc.subject.unesco3304.16 Diseño Lógico
dc.subject.unesco63 Sociología
dc.titleThe platform belongs to those who work on it! Co-designing worker-centric task distribution models
dc.typeconference paper
dspace.entity.typePublication
relation.isAuthorOfPublicationaf3aa3d2-d399-463d-b31d-2032e6b5617e
relation.isAuthorOfPublication.latestForDiscoveryaf3aa3d2-d399-463d-b31d-2032e6b5617e
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