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Qrowdsmith: Enhancing Paid Microtask Crowdsourcing with Gamification and Furtherance Incentives
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/asi.23685openalex-snapshot
Increasing citizen science contribution using a virtual peer
inferredcites →https://doi.org/10.1007/978-3-319-45982-0_1openalex-snapshot
Incentive Mechanisms for Crowdsourcing Platforms
inferredcites →https://doi.org/10.1007/978-3-319-66435-4_3openalex-snapshot
Understanding the Crowd: Ethical and Practical Matters in the Academic Use of Crowdsourcing
inferredcites →https://doi.org/10.1016/j.chb.2015.08.031openalex-snapshot
Work experiences on MTurk: Job satisfaction, turnover, and information sharing
inferredcites →https://doi.org/10.1016/j.chb.2017.01.006openalex-snapshot
Perceptions of virtual reward systems in crowdsourcing games
inferredcites →https://doi.org/10.1016/j.chb.2017.12.018openalex-snapshot
Gamification artifacts and crowdsourcing participation: Examining the mediating role of intrinsic motivations
inferredcites →https://doi.org/10.1016/j.ijhcs.2017.04.005openalex-snapshot
Gamified crowdsourcing: Conceptualization, literature review, and future agenda
inferredcites →https://doi.org/10.1016/j.ijhcs.2018.10.001openalex-snapshot
Cooperation or competition – When do people contribute more? A field experiment on gamification of crowdsourcing
inferredcites →https://doi.org/10.1016/j.ipm.2018.03.006openalex-snapshot
Understanding crowdsourcing projects: A systematic review of tendencies, workflow, and quality management
inferredcites →https://doi.org/10.1016/j.jss.2020.110611openalex-snapshot
General framework, opportunities and challenges for crowdsourcing techniques: A Comprehensive survey
inferredcites →https://doi.org/10.1080/10447318.2021.1876355openalex-snapshot
The Effects of Feedback and Goal on the Quality of Crowdsourcing Tasks
inferredcites →https://doi.org/10.1089/cpb.2007.0210openalex-snapshot
Playing MMORPGs: Connections between Addiction and Identifying with a Character
inferredcites →https://doi.org/10.1108/jmp-06-2018-0228openalex-snapshot
Mechanical Turk and the gig economy: exploring differences between gig workers
inferredcites →https://doi.org/10.1109/istafrica.2016.7530702openalex-snapshot
A profile-aware microtasking approach for improving task assignment in crowdsourcing services
inferredcites →https://doi.org/10.1109/mis.2007.41openalex-snapshot
Social Computing: From Social Informatics to Social Intelligence
inferredcites →https://doi.org/10.1145/1600150.1600175openalex-snapshot
Financial incentives and the "performance of crowds"
inferredcites →https://doi.org/10.1145/1951365openalex-snapshot
Proceedings of the 14th International Conference on Extending Database Technology
inferredcites →https://doi.org/10.1145/2556195openalex-snapshot
Proceedings of the 7th ACM international conference on Web search and data mining
inferredcites →https://doi.org/10.1145/2736277.2741639openalex-snapshot
Improving Paid Microtasks through Gamification and Adaptive Furtherance Incentives
inferredcites →https://doi.org/10.1145/2998181.2998248openalex-snapshot
A Glimpse Far into the Future
inferredcites →https://doi.org/10.1145/3025453openalex-snapshot
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems
inferredcites →https://doi.org/10.1145/3078852openalex-snapshot
Social Incentives in Paid Collaborative Crowdsourcing
inferredcites →https://doi.org/10.1145/3121050.3121060openalex-snapshot
Considering Assessor Agreement in IR Evaluation
inferredcites →https://doi.org/10.1145/3131085.3131086openalex-snapshot
Measuring the effect of "bottom-up" gamification in a microtask setting
inferredcites →https://doi.org/10.1145/3159652.3159661openalex-snapshot
Demographics and Dynamics of Mechanical Turk Workers
inferredcites →https://doi.org/10.1145/3201064.3201094openalex-snapshot
Social Gamification in Enterprise Crowdsourcing
inferredcites →https://doi.org/10.1145/3359227openalex-snapshot
Paying Crowd Workers for Collaborative Work
inferredcites →https://doi.org/10.1145/3403931openalex-snapshot
Mapping Points of Interest Through Street View Imagery and Paid Crowdsourcing
inferredcites →https://doi.org/10.1145/3411764openalex-snapshot
Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
inferredcites →https://doi.org/10.1145/3476063openalex-snapshot
Using Worker Avatars to Improve Microtask Crowdsourcing
inferredcites →https://doi.org/10.1177/2059799116672879openalex-snapshot
Please participate in Part 2: Maximizing response rates in longitudinal MTurk designs
inferredcites →https://doi.org/10.1186/1746-1596-9-s1-s6openalex-snapshot
Preliminary results from a crowdsourcing experiment in immunohistochemistry
inferredcites →https://doi.org/10.1287/mnsc.2020.3943openalex-snapshot
Measuring the Impact of Crowdsourcing Features on Mobile App User Engagement and Retention: A Randomized Field Experiment
inferredcites →https://doi.org/10.1371/journal.pone.0245460openalex-snapshot
Pay for performance, satisfaction and retention in longitudinal crowdsourced research
inferredcites →https://doi.org/10.17083/ijsg.v4i4.192openalex-snapshot
Metrics Feedback Cycle: measuring and improving user engagement in gamified eLearning systems
inferredcites →https://doi.org/10.17705/1jais.00441openalex-snapshot
Why Individuals Participate in Micro-task Crowdsourcing Work Environment: Revealing Crowdworkers’ Perceptions
inferredcites →https://doi.org/10.2139/ssrn.3057424openalex-snapshot
Measuring the Impact of Crowdsourcing Features on Mobile App User Engagement and Retention: A Randomized Field Experiment
inferredcites →https://doi.org/10.3758/s13428-014-0483-xopenalex-snapshot
The relationship between motivation, monetary compensation, and data quality among US- and India-based workers on Mechanical Turk
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-981-92-0288-1_8openalex-snapshot
Optimizing Task Allocation Under Cold-Start Conditions: A Reputation-Based Approach for Complex Crowdsourcing
inferred← citeshttps://doi.org/10.1007/s12555-024-0702-xopenalex-snapshot
Crowdsourcing Task Design Using Multi-agent Systems and an Enhanced Genetic Algorithm
inferred← citeshttps://doi.org/10.1016/j.engappai.2025.111003openalex-snapshot
A gradient descent matrix factorization for microtask crowdsourcing
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.124862openalex-snapshot
Dynamic payment on microtasking platforms using bee colony optimization
inferred← citeshttps://doi.org/10.1109/icic60109.2023.10382018openalex-snapshot
Factors Influencing Participation in Data Crowdsourcing: A Systematic Literature Review
inferred← citeshttps://doi.org/10.1109/percomworkshops59983.2024.10502811openalex-snapshot
Detecting Careless Responses in Dataset Annotation using Screen Operation Logs
inferred← citeshttps://doi.org/10.1145/3613904.3642429openalex-snapshot
"Are we all in the same boat?" Customizable and Evolving Avatars to Improve Worker Engagement and Foster a Sense of Community in Online Crowd Work
inferred← citeshttps://doi.org/10.1145/3706598.3714195openalex-snapshot
Towards Fair and Equitable Incentives to Motivate Paid and Unpaid Crowd Contributions
inferred← citeshttps://doi.org/10.1145/3748661openalex-snapshot
Balancing Cooperation and Competition: Selfish Worker Coalition Formation in Spatial Crowdsourcing
inferred← citeshttps://doi.org/10.1145/3757426openalex-snapshot
Sorry, Your HIT Is Overbooked - Investigating the Use of Crowdsourcing HIT Catchers
inferred← citeshttps://doi.org/10.1145/3772318.3791660openalex-snapshot
Dynamic Compensation Can Enhance User Engagement by Triggering Sensitivity to Financial Losses in Crowd-sourced Studies
inferred← citeshttps://doi.org/10.4018/979-8-3693-6274-7.ch012openalex-snapshot
Gamifying Sustainability
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