Spatiotemporal VGI contributor reputation system based on implicit evaluation relations

The crowdsourced information in this kind of project results from numerous and not organized volunteers, making verification of the quality of their contributions a challenge. Several studies have emphasized using indirect and intrinsic measures to assess the quality of VGI in literature. Moreover, measuring the contributor's reputation score as one of the intrinsic factors for determining whether their produced information is reliable and credible remains an open issue. This study first introduces and discusses the most effective interactions on the reputation of VGI contributors in detail and visually. Then attempts to propose a comprehensive reputation system based on various implicit evaluations among volunteers in their contribution process, depicting their performance. This system is successfully applied in linear features in study areas, and the results are shown graphically. Finally, two other existing frameworks are implemented on desired data for comparison purposes, and the results are discussed.

Automated summary

This study discusses the quality assessment of crowdsourced geographic information and attempts to propose a comprehensive reputation system based on intrinsic evaluations among volunteers. By applying this system in a study area and comparing it with other existing frameworks, relevant results are obtained.