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Modeling Crowdsourcing as Collective Problem Solving


Modeling Crowdsourcing as Collective Problem Solving

Andrea Guazzini et al. Sci Rep.

Erratum in


Crowdsourcing is a process of accumulating the ideas, thoughts or information from many independent participants, with aim to find the best solution for a given challenge. Modern information technologies allow for massive number of subjects to be involved in a more or less spontaneous way. Still, the full potentials of crowdsourcing are yet to be reached. We introduce a modeling framework through which we study the effectiveness of crowdsourcing in relation to the level of collectivism in facing the problem. Our findings reveal an intricate relationship between the number of participants and the difficulty of the problem, indicating the optimal size of the crowdsourced group. We discuss our results in the context of modern utilization of crowdsourcing.


Figure 1
Figure 1. The value of as a function of group size S and the tasks simplicity R.
Colors denote formula image (red - large, green - medium, blue - small). Note that the scale in R is illustrative.
Figure 2
Figure 2
Left: the values of formula image as function of group size S for varying values of R (see legend). Right: the values of formula image as function of task simplicity R for varying values of S (see legend).
Figure 3
Figure 3. Left: the mean fitness reached by a given group of size S when solving the task of simplicity R.
Right: the same for maximum capacity ∑max.

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