专题：Mobile Crowdsensing and Crowdsourcing

This cluster of papers focuses on the use of crowdsourcing platforms, particularly Amazon's Mechanical Turk, for research and data collection purposes. It explores topics such as data quality, incentive mechanisms, mobile sensing, truth discovery, and the application of crowdsourcing in behavioral research and participatory sensing.
最新文献
Workshop Series: Ethics and Inclusive Collaboration

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Crowdsourced versus large language models forecasting: evidence for the accuracy–correlation effect

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Collective intelligence through aggregation

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Dynamic Compensation Can Enhance User Engagement by Triggering Sensitivity to Financial Losses in Crowd-sourced Studies

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AnnotateGPT: Designing Human–AI Collaboration in Pen-Based Document Annotation

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Agentic Audio Moderator vs Human Moderator in Think-Aloud Usability Testing: Results from a Randomized Controlled Trial

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Social Media Feed Elicitation

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When Feasibility of Fairness Audits Relies on Willingness to Share Data: Examining User Acceptance of Multi-Party Computation Protocols for Fairness Monitoring

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Interactive Explainable Ranking

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Publics, Place, and Sensors: Co-Designing Environmental Monitoring with a Community Orchard

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近5年高被引文献
Data quality in online human-subjects research: Comparisons between MTurk, Prolific, CloudResearch, Qualtrics, and SONA

article Full Text OpenAlex 1248 FWCI208.0141

Response rates of online surveys in published research: A meta-analysis

article Full Text OpenAlex 1180 FWCI414.4017

Transfer Learning in Deep Reinforcement Learning: A Survey

article Full Text OpenAlex 664 FWCI108.3306

SplitFed: When Federated Learning Meets Split Learning

article Full Text OpenAlex 610 FWCI57.3704

Bias and Debias in Recommender System: A Survey and Future Directions

article Full Text OpenAlex 600 FWCI165.5549

Model Pruning Enables Efficient Federated Learning on Edge Devices

article Full Text OpenAlex 505 FWCI61.774

Federated learning review: Fundamentals, enabling technologies, and future applications

article Full Text OpenAlex 505 FWCI64.9669

Heterogeneous Federated Learning: State-of-the-art and Research Challenges

review Full Text OpenAlex 476 FWCI79.6479

AI Chains: Transparent and Controllable Human-AI Interaction by Chaining Large Language Model Prompts

article Full Text OpenAlex 426 FWCI91.4459

How-to conduct a systematic literature review: A quick guide for computer science research

article Full Text OpenAlex 401 FWCI107.1339