A Research Study On Information Quality And The Expert Crowd Is The Better Crowd

1236 Words Mar 6th, 2016 null Page
In spite of the nebulousness inherent in determining and measuring expertise, crowdsourcing systems in research and practice that seek to acquire distributed knowledge (e.g. citizen science) indicate a preference for expert contributors. To ensure information quality (IQ), consumers – users of data acquired from such crowdsourcing projects – implement gatekeeping strategies that vary in degree of subtleness and intentionality. These gatekeeping strategies stem from the underlying premise of a positive correlation between IQ and contributor’s level of expertise in a given domain. The assumption therefore, is that expertise leads to better contributions and the expert crowd is the better crowd. A gatekeeping strategy popular in citizen science projects is the use of classes (abstractions) to represent, collect and store data. This strategy is effectively restrictive, allowing only members of the crowd possessing mental schema similar to the consumer’s, to understand and use them, thus excluding lay users or even worse, forcing them to guess and contribute possibly erroneous data. Another strategy in literature focuses on the use of mathematical cum empirical methods to (covertly or overtly) identify experts in the crowd and only process contributions from such identified experts. These restrictive strategies are tangential to the tenets of crowdsourcing and are detrimental to the acquisition of novel discoveries – a goal of distributed knowledge crowdsourcing…

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