# Mobile Crowdsensing and Crowdsourcing

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/mobile-crowdsensing-and-crowdsourcing/

## Facts

| Field | Value |
| --- | --- |
| Description | 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. |
| Domain | Physical Sciences |
| Field | Computer Science |
| OpenAlex ID | t11704 |
| Works | 62 |

## Topic papers all

Showing 15 of 62.

- [Evaluating Online Labor Markets for Experimental Research: Amazon.com's Mechanical Turk](https://scholariq.org/papers/evaluating-online-labor-markets-for-experimental-research-amazon-com-s/)
- [A survey of mobile phone sensing](https://scholariq.org/papers/a-survey-of-mobile-phone-sensing/)
- [The Jigsaw continuous sensing engine for mobile phone applications](https://scholariq.org/papers/the-jigsaw-continuous-sensing-engine-for-mobile-phone-applications/)
- [ZenCrowd](https://scholariq.org/papers/zencrowd/)
- [An Amateur Drone Surveillance System Based on the Cognitive Internet of Things](https://scholariq.org/papers/an-amateur-drone-surveillance-system-based-on-the-cognitive-internet-of-things/)
- [Threats of Bots and Other Bad Actors to Data Quality Following Research Participant Recruitment Through Social Media: Cross-Sectional Questionnaire](https://scholariq.org/papers/threats-of-bots-and-other-bad-actors-to-data-quality-following-research/)
- [CrowdSearch](https://scholariq.org/papers/crowdsearch/)
- [Understanding Malicious Behavior in Crowdsourcing Platforms](https://scholariq.org/papers/understanding-malicious-behavior-in-crowdsourcing-platforms/)
- [WeBuildAI](https://scholariq.org/papers/webuildai/)
- [The Dynamics of Micro-Task Crowdsourcing](https://scholariq.org/papers/the-dynamics-of-micro-task-crowdsourcing/)
- [<italic>iCrowd</italic>: Near-Optimal Task Allocation for Piggyback Crowdsensing](https://scholariq.org/papers/and-lt-italic-and-gt-icrowd-and-lt-italic-and-gt-near-optimal-task-allocation/)
- [An Evaluation of Aggregation Techniques in Crowdsourcing](https://scholariq.org/papers/an-evaluation-of-aggregation-techniques-in-crowdsourcing/)
- [Pick-a-crowd](https://scholariq.org/papers/pick-a-crowd/)
- [Sensus](https://scholariq.org/papers/sensus/)
- [Federated learning for IoT devices: Enhancing TinyML with on-board training](https://scholariq.org/papers/federated-learning-for-iot-devices-enhancing-tinyml-with-on-board-training/)

## Topic primary papers

Showing 15 of 24.

- [A survey of mobile phone sensing](https://scholariq.org/papers/a-survey-of-mobile-phone-sensing/)
- [CrowdSearch](https://scholariq.org/papers/crowdsearch/)
- [Understanding Malicious Behavior in Crowdsourcing Platforms](https://scholariq.org/papers/understanding-malicious-behavior-in-crowdsourcing-platforms/)
- [The Dynamics of Micro-Task Crowdsourcing](https://scholariq.org/papers/the-dynamics-of-micro-task-crowdsourcing/)
- [<italic>iCrowd</italic>: Near-Optimal Task Allocation for Piggyback Crowdsensing](https://scholariq.org/papers/and-lt-italic-and-gt-icrowd-and-lt-italic-and-gt-near-optimal-task-allocation/)
- [An Evaluation of Aggregation Techniques in Crowdsourcing](https://scholariq.org/papers/an-evaluation-of-aggregation-techniques-in-crowdsourcing/)
- [Pick-a-crowd](https://scholariq.org/papers/pick-a-crowd/)
- [Sensus](https://scholariq.org/papers/sensus/)
- [Mechanical cheat: Spamming schemes and adversarial techniques on crowdsourcing platforms](https://scholariq.org/papers/mechanical-cheat-spamming-schemes-and-adversarial-techniques-on-crowdsourcing/)
- [Our New Artificial Intelligence Infrastructure: Becoming Locked into an Unsustainable Future](https://scholariq.org/papers/our-new-artificial-intelligence-infrastructure-becoming-locked-into-an/)
- [Can Masses of Non-Experts Train Highly Accurate Image Classifiers?](https://scholariq.org/papers/can-masses-of-non-experts-train-highly-accurate-image-classifiers/)
- [Wireless vehicular Accident Detection and Reporting System](https://scholariq.org/papers/wireless-vehicular-accident-detection-and-reporting-system/)
- [How Do Older Adults Recruited Using MTurk Differ From Those in a National Probability Sample?](https://scholariq.org/papers/how-do-older-adults-recruited-using-mturk-differ-from-those-in-a-national/)
- [Collecting Online Survey Data: A Comparison of Data Quality among a Commercial Panel & MTurk](https://scholariq.org/papers/collecting-online-survey-data-a-comparison-of-data-quality-among-a-commercial/)
- [Crowdsourcing to Improve HIV and Sexual Health Outcomes: a Scoping Review](https://scholariq.org/papers/crowdsourcing-to-improve-hiv-and-sexual-health-outcomes-a-scoping-review/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.