Sharing Economy, Platforms and Crowds
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Paper Number
2531
Paper Type
short
Description
Consumers of crowdsourced data expect experienced contributors to report more useful data than inexperienced contributors. Guided by selective attention theory, we propose to examine the veracity of this expectation in two types of data crowdsourcing platforms – an online review platform and a citizen science platform. We contend that as the experience of data contributors increase, it leads to selective attention, causing contributors to report similar data over time. We, therefore, predict that data diversity – the number and type of attributes present in contributed data – and the usefulness of contributed data will decrease as contributors gain experience in a crowdsourcing task. We propose an experiment to test these predictions and find from our first study that increasing experience from participation in crowdsourcing tasks may be detrimental to collecting diverse and useful data from crowds.
Recommended Citation
Ogunseye, Shawn and Parsons, Jeffrey, "Collecting Useful Information from Crowds: Is Experience Required?" (2021). ICIS 2021 Proceedings. 21.
https://aisel.aisnet.org/icis2021/sharing_econ/sharing_econ/21
Collecting Useful Information from Crowds: Is Experience Required?
Consumers of crowdsourced data expect experienced contributors to report more useful data than inexperienced contributors. Guided by selective attention theory, we propose to examine the veracity of this expectation in two types of data crowdsourcing platforms – an online review platform and a citizen science platform. We contend that as the experience of data contributors increase, it leads to selective attention, causing contributors to report similar data over time. We, therefore, predict that data diversity – the number and type of attributes present in contributed data – and the usefulness of contributed data will decrease as contributors gain experience in a crowdsourcing task. We propose an experiment to test these predictions and find from our first study that increasing experience from participation in crowdsourcing tasks may be detrimental to collecting diverse and useful data from crowds.
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Comments
09-Crowds