Working with machines: The impact of algorithmic and data-driven management on human workers
Software algorithms are changing how people work in an ever-growing number of fields,
managing distributed human workers at a large scale. In these work settings, human jobs …
managing distributed human workers at a large scale. In these work settings, human jobs …
Procedural justice in algorithmic fairness: Leveraging transparency and outcome control for fair algorithmic mediation
As algorithms increasingly take managerial and governance roles, it is ever more important
to build them to be perceived as fair and adopted by people. With this goal, we propose a …
to build them to be perceived as fair and adopted by people. With this goal, we propose a …
Algorithmic mediation in group decisions: Fairness perceptions of algorithmically mediated vs. discussion-based social division
MK Lee, S Baykal - Proceedings of the 2017 acm conference on …, 2017 - dl.acm.org
How do individuals perceive algorithmic vs. group-made decisions? We investigated
people's perceptions of mathematically-proven fair division algorithms making social …
people's perceptions of mathematically-proven fair division algorithms making social …
The social consequences of machine allocation behavior: Fairness, interpersonal perceptions and performance
Abstract Machines increasingly decide over the allocation of resources or tasks among
people resulting in what we call Machine Allocation Behavior. People respond strongly to …
people resulting in what we call Machine Allocation Behavior. People respond strongly to …
Who is pulling the strings in the platform economy? Accounting for the dark and unexpected sides of algorithmic control
E Pignot - Organization, 2023 - journals.sagepub.com
This paper aims to address the dark side perspective on digital control and surveillance by
emphasizing the affective grip of ideological control, namely the process that silently …
emphasizing the affective grip of ideological control, namely the process that silently …
Efficient task assignment for spatial crowdsourcing: A combinatorial fractional optimization approach with semi-bandit learning
U ul Hassan, E Curry - Expert Systems with Applications, 2016 - Elsevier
Spatial crowdsourcing has emerged as a new paradigm for solving problems in the physical
world with the help of human workers. A major challenge in spatial crowdsourcing is to …
world with the help of human workers. A major challenge in spatial crowdsourcing is to …
A multi-armed bandit approach to online spatial task assignment
Spatial crowd sourcing uses workers for performing tasks that require travel to different
locations in the physical world. This paper considers the online spatial task assignment …
locations in the physical world. This paper considers the online spatial task assignment …
A capability requirements approach for predicting worker performance in crowdsourcing
Assigning heterogeneous tasks to workers is an important challenge of crowdsourcing
platforms. Current approaches to task assignment have primarily focused on content-based …
platforms. Current approaches to task assignment have primarily focused on content-based …
A framework to build games with a purpose for linked data refinement
G Re Calegari, A Fiano, I Celino - The Semantic Web–ISWC 2018: 17th …, 2018 - Springer
With the rise of linked data and knowledge graphs, the need becomes compelling to find
suitable solutions to increase the coverage and correctness of datasets, to add missing …
suitable solutions to increase the coverage and correctness of datasets, to add missing …
ACRyLIQ: Leveraging DBpedia for adaptive crowdsourcing in linked data quality assessment
Crowdsourcing has emerged as a powerful paradigm for quality assessment and
improvement of Linked Data. A major challenge of employing crowdsourcing, for quality …
improvement of Linked Data. A major challenge of employing crowdsourcing, for quality …