Crowd Adjudication Process
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A Crowd Adjudication Process is an evaluation process that resolves evaluation disagreements through crowd workers applying majority voting or aggregation rules to achieve consensus decisions.
- AKA: Crowdsourced Adjudication Process, Crowd Resolution Process, Non-Expert Adjudication, Crowd-Based Disagreement Resolution.
- Context:
- It can typically employ Multiple Crowd Workers for statistical robustness.
- It can typically use Majority Vote Rules for conflict resolution.
- It can often incorporate Quality Control Checks filtering unreliable workers.
- It can often apply Weighted Aggregation based on worker reputation.
- It can reduce Adjudication Costs compared to expert adjudication.
- It can enable Scalable Resolution for large-scale annotation.
- It can integrate with Crowdsourcing Platforms like Amazon MTurk.
- It can generate Worker Agreement Statistics for quality monitoring.
- It can range from being a Simple Majority Adjudication to being a Weighted Consensus Adjudication, depending on its aggregation complexity.
- It can range from being a Binary Crowd Adjudication to being a Multi-Class Crowd Adjudication, depending on its label type.
- It can range from being a Single-Round Adjudication to being a Iterative Adjudication, depending on its resolution depth.
- It can range from being a Open Crowd Adjudication to being a Qualified Crowd Adjudication, depending on its worker requirements.
- ...
- Examples:
- Platform-Based Adjudications, such as:
- Task-Specific Adjudications, such as:
- Hybrid Adjudications, such as:
- Crowd-Expert Hybrid Adjudication combining crowd scale with expert validation.
- ...
- Counter-Examples:
- Expert Adjudication Process, which uses domain experts.
- Automated Adjudication Process, which lacks human judgment.
- Individual Resolution, which avoids crowd consensus.
- See: Evaluation Process, Expert Adjudication Process, Crowd Agreement Metric, Crowdsourcing Platform, Majority Voting, Worker Quality Control, Evaluation Resolution Process.