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The wisdom of minority

https://doi.org/10.1145/2566486.2568033
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s10791-012-9205-0openalex-snapshot
An analysis of human factors and label accuracy in crowdsourcing relevance judgments
inferredcites →https://doi.org/10.1016/0169-7439(89)80095-4openalex-snapshot
Analysis of variance (ANOVA)
inferredcites →https://doi.org/10.1093/ej/33.130.269openalex-snapshot
Journal of the Royal Statistical Society.
inferredcites →https://doi.org/10.1109/allerton.2011.6120180openalex-snapshot
Budget-optimal crowdsourcing using low-rank matrix approximations
inferredcites →https://doi.org/10.1111/j.2517-6161.1977.tb01600.xopenalex-snapshot
Maximum Likelihood from Incomplete Data Via the EM Algorithm
inferredcites →https://doi.org/10.1145/1753846.1753873openalex-snapshot
Who are the crowdworkers?
inferredcites →https://doi.org/10.1145/1837885.1837906openalex-snapshot
Quality management on Amazon Mechanical Turk
inferredcites →https://doi.org/10.1145/1869086.1869094openalex-snapshot
Analyzing the Amazon Mechanical Turk marketplace
inferredcites →https://doi.org/10.1145/2396761.2398697openalex-snapshot
The face of quality in crowdsourcing relevance labels
inferredcites →https://doi.org/10.1609/aaai.v26i1.8099openalex-snapshot
Adaptive Polling for Information Aggregation
inferredcites →https://doi.org/10.2307/2285782openalex-snapshot
Applied Statistics: Analysis of Variance and Regression.
inferredcites →https://doi.org/10.2307/2346806openalex-snapshot
Maximum Likelihood Estimation of Observer Error-Rates Using the EM Algorithm
inferredcites →https://doi.org/10.3115/1613715.1613751openalex-snapshot
Cheap and fast---but is it good?
inferredcites →https://doi.org/10.48550/arxiv.1204.3611openalex-snapshot
Learning to Predict the Wisdom of Crowds
inferredcites →https://doi.org/10.48550/arxiv.1206.6386openalex-snapshot
How To Grade a Test Without Knowing the Answers --- A Bayesian Graphical Model for Adaptive Crowdsourcing and Aptitude Testing
inferredcites →https://doi.org/10.48550/arxiv.1307.2674openalex-snapshot
Error Rate Bounds in Crowdsourcing Models
inferredcites →https://doi.org/10.5555/1756006.1859894openalex-snapshot
Learning From Crowds

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.2673129openalex-extracted
Ensembles of Crowds and Computers: Experiments in Forecasting
inferred← citeshttps://doi.org/10.1007/978-3-030-01421-6_57openalex-snapshot
Incorporating Worker Similarity for Label Aggregation in Crowdsourcing
inferred← citeshttps://doi.org/10.1007/978-3-030-12334-5_3openalex-snapshot
Crowdsourcing Controls: A Review and Research Agenda for Crowdsourcing Controls Used for Macro-tasks
inferred← citeshttps://doi.org/10.1007/978-3-030-28730-6_18openalex-snapshot
CrowdED and CREX: Towards Easy Crowdsourcing Quality Control Evaluation
inferred← citeshttps://doi.org/10.1007/978-3-030-34223-4_1openalex-snapshot
GroExpert: A Novel Group-Aware Experts Identification Approach in Crowdsourcing
inferred← citeshttps://doi.org/10.1007/978-3-031-02318-7openalex-snapshot
The Practice of Crowdsourcing
inferred← citeshttps://doi.org/10.1007/978-3-031-32397-3_4openalex-snapshot
Quality-Aware Incentive Mechanism for Mobile Crowdsourcing
inferred← citeshttps://doi.org/10.1007/978-3-031-58453-4_2openalex-snapshot
Linear Online Incentive Mechanism Design: Case Study of Crowdsensing with Random Task Arrivals
inferred← citeshttps://doi.org/10.1007/978-3-031-60125-5_20openalex-snapshot
Operational Collective Intelligence of Humans and Machines
inferred← citeshttps://doi.org/10.1007/978-3-319-62127-2_39openalex-snapshot
Faster Algorithm for Truth Discovery via Range Cover
inferred← citeshttps://doi.org/10.1007/978-3-319-68786-5_4openalex-snapshot
Iterative Reduction Worker Filtering for Crowdsourced Label Aggregation
inferred← citeshttps://doi.org/10.1007/978-981-99-8076-5_34openalex-snapshot
Learning Representations for Sparse Crowd Answers
inferred← citeshttps://doi.org/10.1007/s00453-019-00562-zopenalex-snapshot
A Faster Algorithm for Truth Discovery via Range Cover
inferred← citeshttps://doi.org/10.1007/s00778-026-00969-5openalex-snapshot
Efficient Task Assignment for Multi-Workerset Crowdsourcing with Time and Expense Considerations
inferred← citeshttps://doi.org/10.1007/s10462-024-10974-1openalex-snapshot
Trustworthy human computation: a survey
inferred← citeshttps://doi.org/10.1007/s10994-021-06079-3openalex-snapshot
Bayesian optimization with partially specified queries
inferred← citeshttps://doi.org/10.1007/s11004-023-10086-6openalex-snapshot
An Uncertainty Analysis Method Based on a Globally Optimal Truth Discovery Model for Mineral Prospectivity Mapping
inferred← citeshttps://doi.org/10.1007/s11053-024-10404-7openalex-snapshot
Representing the Uncertainty of a 3D Geological Model via Global Optimum Truth Discovery Technology
inferred← citeshttps://doi.org/10.1007/s11280-016-0429-6openalex-snapshot
A context-aware approach for trustworthy worker selection in social crowd
inferred← citeshttps://doi.org/10.1007/s11390-017-1768-1openalex-snapshot
COSSET+: Crowdsourced Missing Value Imputation Optimized by Knowledge Base
inferred← citeshttps://doi.org/10.1007/s11390-017-1770-7openalex-snapshot
Improving the Quality of Crowdsourced Image Labeling via Label Similarity
inferred← citeshttps://doi.org/10.1007/s12583-021-1434-yopenalex-snapshot
Uncertainty Visualisation of a 3D Geological Geometry Model and Its Application in GIS-Based Mineral Resource Assessment: A Case Study in Huayuan District, Northwestern Hunan Province, China
inferred← citeshttps://doi.org/10.1016/j.adhoc.2018.01.009openalex-snapshot
Quality-aware incentive mechanism based on payoff maximization for mobile crowdsensing
inferred← citeshttps://doi.org/10.1016/j.chb.2016.07.058openalex-snapshot
Effect of verbal comprehension skill and self-reported features on reliability of crowdsourced relevance judgments
inferred← citeshttps://doi.org/10.1016/j.ins.2017.12.004openalex-snapshot
Crowdsourced promotions in doubt: Analyzing effective crowdsourced promotions
inferred← citeshttps://doi.org/10.1016/j.jcss.2019.12.002openalex-snapshot
Learning the truth vector in high dimensions
inferred← citeshttps://doi.org/10.1016/j.jss.2016.06.061openalex-snapshot
Assignment strategies for ground truths in the crowdsourcing of labeling tasks
inferred← citeshttps://doi.org/10.1016/j.knosys.2018.12.004openalex-snapshot
A probabilistic model for truth discovery with object correlations
inferred← citeshttps://doi.org/10.1016/j.pmcj.2018.09.007openalex-snapshot
Effective truth discovery and fair reward distribution for mobile crowdsensing
inferred← citeshttps://doi.org/10.1109/access.2020.2964484openalex-snapshot
Truth Inference With a Deep Clustering-Based Aggregation Model
inferred← citeshttps://doi.org/10.1109/access.2021.3127994openalex-snapshot
Aggregating Reliable Submissions in Crowdsourcing Systems
inferred← citeshttps://doi.org/10.1109/access.2025.3532754openalex-snapshot
Analysis of Surprisingly Popular Voting for Opinion Aggregation on Social Networks
inferred← citeshttps://doi.org/10.1109/ase.2017.8115657openalex-snapshot
O2O service composition with social collaboration
inferred← citeshttps://doi.org/10.1109/bigdata.2015.7364072openalex-snapshot
A collaborative framework for annotating energy datasets
inferred← citeshttps://doi.org/10.1109/bigdata.2016.7840963openalex-snapshot
Leveraging user expertise in collaborative systems for annotating energy datasets
inferred← citeshttps://doi.org/10.1109/bigdata.2018.8622435openalex-snapshot
A Learning Effect by Presenting Machine Prediction as a Reference Answer in Self-correction
inferred← citeshttps://doi.org/10.1109/compsac.2015.117openalex-snapshot
How Many Ground Truths Should We Insert? Having Good Quality of Labeling Tasks in Crowdsourcing
inferred← citeshttps://doi.org/10.1109/compsac.2017.275openalex-snapshot
Efficient Worker Selection Through History-Based Learning in Crowdsourcing
inferred← citeshttps://doi.org/10.1109/hase.2016.20openalex-snapshot
Task Characterization for an Effective Worker Targeting in Crowdsourcing
inferred← citeshttps://doi.org/10.1109/icc.2016.7511256openalex-snapshot
OnTac: Online task assignment for crowdsourcing
inferred← citeshttps://doi.org/10.1109/icc.2018.8422306openalex-snapshot
An Online Mechanism for Crowdsensing with Uncertain Task Arriving
inferred← citeshttps://doi.org/10.1109/icdcs.2016.50openalex-snapshot
Enabling Privacy-Preserving Incentives for Mobile Crowd Sensing Systems
inferred← citeshttps://doi.org/10.1109/icde60146.2024.00026openalex-snapshot
Cross-Domain-Aware Worker Selection with Training for Crowdsourced Annotation
inferred← citeshttps://doi.org/10.1109/icdmw.2017.157openalex-snapshot
Aggregation and Disaggregation of Information: A Holistic View
inferred← citeshttps://doi.org/10.1109/ickg52313.2021.00036openalex-snapshot
Research on Crowdsourcing Truth Inference Method Based on Graph Embedding
inferred← citeshttps://doi.org/10.1109/infocom.2017.8057111openalex-snapshot
CENTURION: Incentivizing multi-requester mobile crowd sensing
inferred← citeshttps://doi.org/10.1109/ipsn48710.2020.00028openalex-snapshot
Selective Sampling for Sensor Type Classification in Buildings
inferred← citeshttps://doi.org/10.1109/jiot.2019.2930659openalex-snapshot
When Crowdsourcing Meets Social IoT: An Efficient Privacy-Preserving Incentive Mechanism
inferred← citeshttps://doi.org/10.1109/jiot.2020.2964657openalex-snapshot
An Online Incentive Mechanism for Crowdsensing With Random Task Arrivals
inferred← citeshttps://doi.org/10.1109/tetc.2020.3045463openalex-snapshot
SDLSC-TA: Subarea Division Learning Based Task Allocation in Sparse Mobile Crowdsensing
inferred← citeshttps://doi.org/10.1109/tkde.2019.2936189openalex-snapshot
Truth Discovery by Claim and Source Embedding
inferred← citeshttps://doi.org/10.1109/tmc.2018.2868106openalex-snapshot
Thanos: Incentive Mechanism with Quality Awareness for Mobile Crowd Sensing
inferred← citeshttps://doi.org/10.1109/tnet.2018.2840098openalex-snapshot
Incentive Mechanism for Privacy-Aware Data Aggregation in Mobile Crowd Sensing Systems
inferred← citeshttps://doi.org/10.1109/tpds.2017.2775232openalex-snapshot
MeLoDy: A Long-Term Dynamic Quality-Aware Incentive Mechanism for Crowdsourcing
inferred← citeshttps://doi.org/10.1137/1.9781611975321.19openalex-snapshot
Online Truth Discovery on Time Series Data
inferred← citeshttps://doi.org/10.1142/s0218843020400055openalex-snapshot
A Long-Term Quality Perception Incentive Strategy for Crowdsourcing Environments with Budget Constraints
inferred← citeshttps://doi.org/10.1142/s0219649222500307openalex-snapshot
Understanding Open Collaboration of Wikipedia Good Articles with Factor Analysis
inferred← citeshttps://doi.org/10.1145/2675133.2675214openalex-snapshot
Flock
inferred← citeshttps://doi.org/10.1145/2723372.2723722openalex-snapshot
The Importance of Being Expert
inferred← citeshttps://doi.org/10.1145/2746285.2746310openalex-snapshot
Quality of Information Aware Incentive Mechanisms for Mobile Crowd Sensing Systems
inferred← citeshttps://doi.org/10.1145/2776896openalex-snapshot
Crowdsourcing Without a Crowd
inferred← citeshttps://doi.org/10.1145/2806416.2806444openalex-snapshot
Approximate Truth Discovery via Problem Scale Reduction
inferred← citeshttps://doi.org/10.1145/2835776.2835797openalex-snapshot
Crowdsourcing High Quality Labels with a Tight Budget
inferred← citeshttps://doi.org/10.1145/2897350.2897352openalex-snapshot
A Survey on Truth Discovery
inferred← citeshttps://doi.org/10.1145/2914586.2914621openalex-snapshot
Exploring Maintenance Practices in Crowd-Mapping
inferred← citeshttps://doi.org/10.1145/2942358.2942375openalex-snapshot
INCEPTION
inferred← citeshttps://doi.org/10.1145/2970276.2970334openalex-snapshot
CrowdService: serving the individuals through mobile crowdsourcing and service composition
inferred← citeshttps://doi.org/10.1145/2970398.2970442openalex-snapshot
Collaborative Information Retrieval
inferred← citeshttps://doi.org/10.1145/2983323.2983771openalex-snapshot
Answering Twitter Questions
inferred← citeshttps://doi.org/10.1145/2989238.2989245openalex-snapshot
Software crowdsourcing reliability: an empirical study on developers behavior
inferred← citeshttps://doi.org/10.1145/2998181.2998267openalex-snapshot
Work Always in Progress
inferred← citeshttps://doi.org/10.1145/3014338openalex-snapshot
COIP—Continuous, Operable, Impartial, and Privacy-Aware Identity Validity Estimation for OSN Profiles
inferred← citeshttps://doi.org/10.1145/3092696openalex-snapshot
On the Collaboration Support in Information Retrieval
inferred← citeshttps://doi.org/10.1145/3108935openalex-snapshot
CrowdService
inferred← citeshttps://doi.org/10.1145/3132847.3132971openalex-snapshot
Hyper Questions
inferred← citeshttps://doi.org/10.1145/3289600.3291035openalex-snapshot
All Those Wasted Hours
inferred← citeshttps://doi.org/10.1145/3299869.3300106openalex-snapshot
Recommending Deployment Strategies in Crowdsourcing Platforms
inferred← citeshttps://doi.org/10.1145/3392858openalex-snapshot
C-Reference: Improving 2D to 3D Object Pose Estimation Accuracy via Crowdsourced Joint Object Estimation
inferred← citeshttps://doi.org/10.1145/3411764.3445399openalex-snapshot
Comparing Generic and Community-Situated Crowdsourcing for Data Validation in the Context of Recovery from Substance Use Disorders
inferred← citeshttps://doi.org/10.1145/3494522openalex-snapshot
A Survey on Task Assignment in Crowdsourcing
inferred← citeshttps://doi.org/10.1145/3715070.3749241openalex-snapshot
Echo Chambers and Information Brokers on Truth Social: A Study of Network Dynamics and Political Discourse
inferred← citeshttps://doi.org/10.1155/2021/5518878openalex-snapshot
An Efficient Decision Support System for the Selection of Appropriate Crowd in Crowdsourcing
inferred← citeshttps://doi.org/10.1155/2021/6622231openalex-snapshot
Multicriteria‐Based Crowd Selection Using Ant Colony Optimization
inferred← citeshttps://doi.org/10.14778/2824032.2824136openalex-snapshot
Truth discovery and crowdsourcing aggregation
inferred← citeshttps://doi.org/10.1609/hcomp.v2i1.13165openalex-snapshot
Predicting Next Label Quality: A Time-Series Model of Crowdwork
inferred← citeshttps://doi.org/10.1609/hcomp.v3i1.13228openalex-snapshot
Crowd Access Path Optimization: Diversity Matters
inferred← citeshttps://doi.org/10.1609/hcomp.v3i1.13261openalex-snapshot
Acquiring Reliable Ratings from the Crowd
inferred← citeshttps://doi.org/10.1609/hcomp.v5i1.13300openalex-snapshot
Drafty: Enlisting Users To Be Editors Who Maintain Structured Data
inferred← citeshttps://doi.org/10.1609/hcomp.v5i1.13315openalex-snapshot
Leveraging Side Information to Improve Label Quality Control in Crowd-Sourcing
inferred← citeshttps://doi.org/10.1613/jair.5175openalex-snapshot
Time-Sensitive Bayesian Information Aggregation for Crowdsourcing Systems
inferred← citeshttps://doi.org/10.18653/v1/d19-5905openalex-snapshot
Crowd-sourcing annotation of complex NLU tasks: A case study of argumentative content annotation
inferred← citeshttps://doi.org/10.2200/s00904ed1v01y201903icr066openalex-snapshot
The Practice of Crowdsourcing
inferred← citeshttps://doi.org/10.23919/icif.2018.8455374openalex-snapshot
Squadron: Incentivizing Quality-Aware Mission-Driven Crowd Sensing
inferred← citeshttps://doi.org/10.24963/ijcai.2019/177openalex-snapshot
Graph Mining Meets Crowdsourcing: Extracting Experts for Answer Aggregation
inferred← citeshttps://doi.org/10.26615/978-954-452-072-4_177openalex-snapshot
Tell Me What You Read: Automatic Expertise-Based Annotator Assignment for Text Annotation in Expert Domains
inferred← citeshttps://doi.org/10.48550/arxiv.1505.02463openalex-snapshot
A Survey on Truth Discovery
inferred← citeshttps://doi.org/10.48550/arxiv.1807.11836openalex-snapshot
Inferring the ground truth through crowdsourcing
inferred← citeshttps://doi.org/10.5441/002/edbt.2020.28openalex-snapshot
Manually Detecting Errors for Data Cleaning Using Adaptive Crowdsourcing Strategies
inferred← citeshttps://doi.org/10.70675/8395891ezc475z4732z920dza3fa51127edeopenalex-snapshot
Context-aware worker selection for efficient quality control in crowdsourcing
inferred← citeshttps://doi.org/10.70675/b45c2f95z4772z45e4z97b2zaa9c53131ab9openalex-snapshot
évaluation de la véracité des données : améliorer la découverte de la vérité en utilisant des connaissances a priori
inferred← citeshttps://doi.org/10.7282/t3-3zq1-0b23openalex-snapshot
Pricing problems in online markets
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