Quantifying the invisible labor in crowd work

C Toxtli, S Suri, S Savage - Proceedings of the ACM on human-computer …, 2021 - dl.acm.org
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 …

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 …

A checklist to combat cognitive biases in crowdsourcing

T Draws, A Rieger, O Inel, U Gadiraju… - Proceedings of the AAAI …, 2021 - ojs.aaai.org
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 …

Improving worker engagement through conversational microtask crowdsourcing

S Qiu, U Gadiraju, A Bozzon - Proceedings of the 2020 CHI Conference …, 2020 - dl.acm.org
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 …

The perpetual work life of crowdworkers: How tooling practices increase fragmentation in crowdwork

AC Williams, G Mark, K Milland, E Lank… - Proceedings of the ACM …, 2019 - dl.acm.org
Crowdworkers regularly support their work with scripts, extensions, and software to enhance
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

JY Jung, S Qiu, A Bozzon, U Gadiraju - … of the 2022 CHI Conference on …, 2022 - dl.acm.org
Conversational agents are being widely adopted across several domains to serve a variety
of purposes ranging from providing intelligent assistance to companionship. Recent …

The covid-19 infodemic: Can the crowd judge recent misinformation objectively?

K Roitero, M Soprano, B Portelli, D Spina… - Proceedings of the 29th …, 2020 - dl.acm.org
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 …

On the state of reporting in crowdsourcing experiments and a checklist to aid current practices

J Ramírez, B Sayin, M Baez, F Casati… - Proceedings of the …, 2021 - dl.acm.org
Crowdsourcing is being increasingly adopted as a platform to run studies with human
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

K Roitero, M Soprano, B Portelli, M De Luise… - Personal and Ubiquitous …, 2023 - Springer
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 …

Becoming the super turker: Increasing wages via a strategy from high earning workers

S Savage, CW Chiang, S Saito, C Toxtli… - Proceedings of The Web …, 2020 - dl.acm.org
Crowd markets have traditionally limited workers by not providing transparency information
concerning which tasks pay fairly or which requesters are unreliable. Researchers believe …