Platform Incentives

using the Personalised Peer Truth Serum

A novel data collection method that rewards the provision of high-quality data:

High-quality data avoids:

Biased data-based conclusions by feasible and responsible data collection
Noise by design, e.g. by cross-checking whether the data is realistic at all
Inaccuracy by incentive mechanism design
Distrust by transparency and data autonomy
Aversion by good user experience and engaging platform culture, e.g. by repeated learning and reputation at stake

How it works, for example with fitness data attributes:

Publication & Kudos:

ACM Journal of Data and Information Quality: https://doi.org/10.1145/3592617

Image in banner by Tim Marshall, Unsplash

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