Quantifying the invisible labor in crowd work
Crowdsourcing markets provide workers with a centralized place to find paid work. What
may not be obvious at first glance is that, in addition to the work they do for pay, crowd …
may not be obvious at first glance is that, in addition to the work they do for pay, crowd …
Deep reinforcement learning for partially observable data poisoning attack in crowdsensing systems
M Li, Y Sun, H Lu, S Maharjan… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
Crowdsensing systems collect various types of data from sensors embedded on mobile
devices owned by individuals. These individuals are commonly referred to as workers that …
devices owned by individuals. These individuals are commonly referred to as workers that …
A checklist to combat cognitive biases in crowdsourcing
Recent research has demonstrated that cognitive biases such as the confirmation bias or the
anchoring effect can negatively affect the quality of crowdsourced data. In practice, however …
anchoring effect can negatively affect the quality of crowdsourced data. In practice, however …
Improving worker engagement through conversational microtask crowdsourcing
The rise in popularity of conversational agents has enabled humans to interact with
machines more naturally. Recent work has shown that crowd workers in microtask …
machines more naturally. Recent work has shown that crowd workers in microtask …
The perpetual work life of crowdworkers: How tooling practices increase fragmentation in crowdwork
Crowdworkers regularly support their work with scripts, extensions, and software to enhance
their productivity. Despite their evident significance, little is understood regarding how these …
their productivity. Despite their evident significance, little is understood regarding how these …
Great chain of agents: The role of metaphorical representation of agents in conversational crowdsourcing
Conversational agents are being widely adopted across several domains to serve a variety
of purposes ranging from providing intelligent assistance to companionship. Recent …
of purposes ranging from providing intelligent assistance to companionship. Recent …
The covid-19 infodemic: Can the crowd judge recent misinformation objectively?
Misinformation is an ever increasing problem that is difficult to solve for the research
community and has a negative impact on the society at large. Very recently, the problem has …
community and has a negative impact on the society at large. Very recently, the problem has …
On the state of reporting in crowdsourcing experiments and a checklist to aid current practices
Crowdsourcing is being increasingly adopted as a platform to run studies with human
subjects. Running a crowdsourcing experiment involves several choices and strategies to …
subjects. Running a crowdsourcing experiment involves several choices and strategies to …
Can the crowd judge truthfulness? A longitudinal study on recent misinformation about COVID-19
Recently, the misinformation problem has been addressed with a crowdsourcing-based
approach: to assess the truthfulness of a statement, instead of relying on a few experts, a …
approach: to assess the truthfulness of a statement, instead of relying on a few experts, a …
Becoming the super turker: Increasing wages via a strategy from high earning workers
Crowd markets have traditionally limited workers by not providing transparency information
concerning which tasks pay fairly or which requesters are unreliable. Researchers believe …
concerning which tasks pay fairly or which requesters are unreliable. Researchers believe …