{"total":25,"rows":[{"id":"2311.09743","title":"Capturing Perspectives of Crowdsourced Annotators in Subjective Learning Tasks","created":"2023-11-16","cited_by_count":29,"area":null},{"id":"2301.12534","title":"Vicarious Offense and Noise Audit of Offensive Speech Classifiers: Unifying Human and Machine Disagreement on What is Offensive","created":"2023-01-29","cited_by_count":16,"area":null},{"id":"2304.00815","title":"Design Choices for Crowdsourcing Implicit Discourse Relations: Revealing the Biases Introduced by Task Design","created":"2023-04-03","cited_by_count":14,"area":null},{"id":"2203.07031","title":"Model Positionality and Computational Reflexivity: Promoting Reflexivity in Data Science","created":"2022-03-08","cited_by_count":13,"area":null},{"id":"2408.14141","title":"Crowd-Calibrator: Can Annotator Disagreement Inform Calibration in Subjective Tasks?","created":"2024-08-26","cited_by_count":13,"area":null},{"id":"2101.11956","title":"Us vs. Them: A Dataset of Populist Attitudes, News Bias and Emotions","created":"2021-01-28","cited_by_count":9,"area":null},{"id":"2408.08411","title":"Rater Cohesion and Quality from a Vicarious Perspective","created":"2024-08-15","cited_by_count":8,"area":null},{"id":"2507.18890","title":"NUTMEG: Separating Signal From Noise in Annotator Disagreement","created":"2025-07-25","cited_by_count":7,"area":null},{"id":"2311.00203","title":"Modeling subjectivity (by Mimicking Annotator Annotation) in toxic comment identification across diverse communities","created":"2023-11-01","cited_by_count":6,"area":null},{"id":"2409.12218","title":"ARTICLE: Annotator Reliability Through In-Context Learning","created":"2024-09-18","cited_by_count":6,"area":null},{"id":"2112.02255","title":"In Search of Ambiguity: A Three-Stage Workflow Design to Clarify Annotation Guidelines for Crowd Workers","created":"2021-12-04","cited_by_count":5,"area":null},{"id":"2308.12885","title":"Collect, Measure, Repeat: Reliability Factors for Responsible AI Data Collection","created":"2023-08-22","cited_by_count":5,"area":null},{"id":"2111.03511","title":"Disengagement Cause-and-Effect Relationships Extraction Using an NLP Pipeline","created":"2021-11-05","cited_by_count":3,"area":null},{"id":"2102.08482","title":"Finding the Ground-Truth from Multiple Labellers: Why Parameters of the Task Matter","created":"2021-02-16","cited_by_count":1,"area":null},{"id":"2410.14515","title":"Efficient Annotator Reliability Assessment and Sample Weighting for Knowledge-Based Misinformation Detection on Social Media","created":"2024-10-18","cited_by_count":1,"area":null},{"id":"2502.12225","title":"Subjective Logic Encodings","created":"2025-02-17","cited_by_count":1,"area":null},{"id":"2504.00589","title":"Efficient Annotator Reliability Assessment with EffiARA","created":"2025-04-01","cited_by_count":1,"area":null},{"id":"2608.17183","title":"Benchmarking the Benchmarks: Evaluating Automated Safety Benchmarks for Small Language Models","created":"2026-08-17","cited_by_count":1,"area":null},{"id":"2208.02689","title":"Analyzing social media with crowdsourcing in Crowd4SDG","created":"2022-08-04","cited_by_count":0,"area":null},{"id":"2505.18916","title":"SCRum-9: Multilingual Stance Classification over Rumours on Social Media","created":"2025-05-25","cited_by_count":0,"area":null},{"id":"2509.08217","title":"Balancing Quality and Variation: Spam Filtering Distorts Data Label Distributions","created":"2025-09-10","cited_by_count":0,"area":null},{"id":"2510.04366","title":"Quantifying Ambiguity in Categorical Annotations: A Measure and Statistical Inference Framework","created":"2025-10-05","cited_by_count":0,"area":null},{"id":"2512.20577","title":"Improving ML Training Data with Gold-Standard Quality Metrics","created":"2025-12-23","cited_by_count":0,"area":null},{"id":"2603.28351","title":"Not All Subjectivity Is the Same! Defining Desiderata for the Evaluation of Subjectivity in NLP","created":"2026-03-30","cited_by_count":0,"area":null},{"id":"2604.01344","title":"IDEA2: Expert-in-the-loop competency question elicitation for collaborative ontology engineering","created":"2026-04-01","cited_by_count":0,"area":null}],"next_cursor":null}