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Community management for keeping contributors

The majority of the data produced in the framework of crowdsourcing projects has been produced by a well-determined minority of participants and not by anonymous masses.

As seen in the previous diagram where each square corresponds to the contributions of a single person and where the size of each square is proportionate to quantity of contributions, all volunteer crowdsourcing projects also show us that the largest part of contributions is the result of a minority and that it is thus not really a matter of anonymous crowds, but rather of a well-defined community of volunteers [OWE 13]. Under these conditions, it would therefore be more judicious to speak of communitysourcing [CAU 12] or even nichesourcing and to seek to recruit well-targeted people rather than addressing faceless crowds.

A few Internet users produce the largest part of contributions (according to Brumfield’s blog manuscripttranscription.blogspot.frin 2013)

Figure 5.9. A few Internet users produce the largest part of contributions (according to Brumfield’s blog manuscripttranscription.blogspot.frin 2013)

If the standard profile of a volunteer is a college-educated man with a high level of studies, in an elevated socio-professional category and having just finished his studies or who is retired, the communities of contributors also include more diverse profiles and form communities of pairs having similarities and common goals whose dynamism must be maintained by community management. In fact, the volunteers will have to be recruited by communication acts, supervised, managed, supported by hotlines, helpdesks, forums, educated with manuals, tutorials, motivated, regularly updated, their contributions moderated, their quality controlled, the participation statistics followed, and, finally, the produced data reintegrated.

 
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