
Crowdsourcing is growing in both industry and academia, providing new ways to conduct work. However, these online working environments show similarities with the industrial revolution, were workers have few to no rights. Although crowdsourcing is a new phenomenon, online communities have quite some history. We find a resource in the literature on how to build online communities and applied them to crowdsourcing platforms. We have gathered and adjusted community heuristics to evaluate crowdsourcing platforms. To support the evaluation task, we have developed a system which we present as a demo: http://tinyurl.com/ecscwdemo
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
