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In the modern environment of Web 2.0, the increasingly connected nature and online presence of societies and communities across the world is drastically and continually altering the role of the ‘user’ of spatial information. The proliferation of new, mobile, and spatially aware technologies has resulted in the ability for ordinary citizens to not only consume, but also produce data and contribute local expertise to spatial datasets in volumes that are increasing exponentially (Seeger 2008). Where this crowdsourced data explicitly or implicitly captures a location and associated detail, it is now widely referred to as ‘Volunteered Geographic Information’ (VGI) (Goodchild 2007), and is eliciting great interest from the scientific community. This data is a rich source of near real time information, and marks a significant paradigm shift in the creation and dissemination of geographic information, from a top down authoritative approach to a democratic model with the end user also acting as a data producer (Budhathoki et al 2008, Goodchild 2008), or a phenomenon now referred to as ‘Neogeography’ (Goodchild 2007). With all of these factors sparking interest in this new tsunami of information, questions have emerged surrounding issues of integration with authoritative datasets and spatial data infrastructures (SDIs), hinged on how the quality of VGI can be accurately determined.
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Stored only when both papers are in the corpus — 3 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.