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Crowd Guilds: Worker-led Reputation and Feedback on Crowdsourcing Platforms
[article]
2016
arXiv
pre-print
A two-week field experiment compared crowd guilds to a traditional decentralized crowd work model. ...
Reputation is one central example: crowdsourcing systems depend on reputation scores from decentralized workers and requesters, but these scores are notoriously inflated and uninformative. ...
In the future, we hope to analyze variation in guild governance policies to better understand the forms of self-governance that predict long-term engagement and satisfaction. ...
arXiv:1611.01572v2
fatcat:zn2vdnlforahpcsziytvlmlyyy
Worker-Owned Cooperative Models for Training Artificial Intelligence
2017
Companion of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing - CSCW '17 Companion
Workers on virtual labor marketplaces accelerate this process by generating training data for AI systems. ...
We propose a new model where workers earn ownership of trained AI systems, allowing them to draw a long-term royalty from a tool that replaces their labor. ...
Acknowledgements We thank the CrowdCamp workshop at the Fourth AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2016) for supporting this work and the participants for useful discussions. ...
doi:10.1145/3022198.3026356
fatcat:46axt7px5vbq7p5yrle2v63sfi
VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository
[article]
2019
arXiv
pre-print
To demonstrate VizNet's utility as a platform for conducting online crowdsourced experiments at scale, we replicate a prior study assessing the influence of user task and data distribution on visual encoding ...
In this paper, we present VizNet: a large-scale corpus of over 31 million datasets compiled from open data repositories and online visualization galleries. ...
Daemo [21] , a self-governed crowdsourcing marketplace, was instrumental in the creation of the Stanford Question Answering Dataset (SQuAD) [55] , whereas MTurk was used to curate the ImageNet dataset ...
arXiv:1905.04616v1
fatcat:d46eqdu55fbv7ely5u7h3jhmnu
Trusts, co-ops, and crowd workers: Could we include crowd data workers as stakeholders in data trust design?
2020
Data & Policy
In this paper, we report on a preliminary qualitative investigation into how crowd data workers themselves feel datasets should be used and governed. ...
Data trusts have been proposed as a mechanism through which data can be more readily exploited for a variety of aims, including economic development and social-benefit goals such as medical research or ...
s "Daemo" marketplace (Gaikwad et al., 2017) demonstrated two design interventions-"Boomerang" and "Prototype tasks"-that improve worker-requester trust by addressing two common source of trust breakdown-flawed ...
doi:10.1017/dap.2020.21
fatcat:3h2aypunjvhixjyxo7wzyfid5y
A Software platform design approach for knowledge sharing and self-organization among crowd workers
2018
Crowd work is a popular form of digital work. Anyone can work on crowd work platforms and it is a great way for companies to outsource tasks externally. ...
The proposed approach follows an architectural design of a collective intelligence system (CIS). A CIS allows indirect communication among the users. ...
The platforms abused software license agreements as employment contracts and in their terms of use it is governed that a worker is a self-employed person or "independent contractor". ...
doi:10.34726/hss.2018.45850
fatcat:e2ajrfdosbf45gbcj2bfcqjr6y
Do You See What I See? Perception and Navigation in Online Deliberation
2018
themselves, but a lot of people each know a piece of the problem or solution. ...
Some of the most pressing challenges facing humanity today, such as how to respond to climate change or govern the internet, are too complex for any individual or small group to completely understand by ...
prizes, crowdsourcing, and citizen science (Sinai & Smith, 2013; The Open Government Partnership, 2013). ...
doi:10.1184/r1/6716099.v1
fatcat:g7zrlemgdnhmbold6mtjdy7y3a