Most algorithms assume a fixed set of tasks of allocate. This means that the complex tasks themselves cannot become more complex or more granular because every single microtask must be accounted for at the beginning of algorithmic crowdsourcing.

Disadvantages of Algorithmic Crowdsourcing: Fixed Sets of Tasks

University of Rochester

Algorithmic crowdsourcing concentrates on computational approaches to solving the problems caused by introducing crowdworkers.

Algorithmic Crowdsourcing

Hotaling, A., &amp; Bagrow, J. P. (2020). Efficient crowdsourcing of crowd-generated microtasks. PLOS ONE, 15(12). https://doi.org/10.1371/journal.pone.0244245 

Efficient crowdsourcing of crowd-generated microtasks

Cost forecasting is a technique that allows the crowdsourcer to decide between having the crowd generate more tasks or letting the crowd complete some of the already-generated tasks to more efficiently balance resources in a situation where crowdworkers are both proposing new tasks and completing them.

(Proposed in the paper Efficient crowdsouring of crowd-generated microtasks.)

Cost Forecasting

A bursty process is characterized by long pauses of nonactivity interrupted by sudden bursts of activity. Bursty processes tend to follow power-law distributions.

Bursty Processes (needs a new parent)

Disadvantages of Algorithmic Crowdsourcing

1. Efficiently and accurately gathering responses
2. Maximizes accuracy

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