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User-generated content (UGC) is becoming the most popular and valuable information available on the WWW. However, little serious research has been conducted to measure the properties of its production process. This paper presents an in-depth quantitative analysis of 9 popular websites that are based on different UGC types. The Information Production Process is used as a framework for the analysis. The findings provide for first time strong scientific evidence for previously anecdotic knowledge: UGC production follows “long-tail” distributions and it is marked with a strong “participation inequality”. Also, the analysis arrived to unexpected findings: not all the UGC types follow the inverse power-law distribution, and large content collections could be dominated by the presence of ultra-productive users. The analysis results also have implications for the administration of UGC-based websites.
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Stored only when both papers are in the corpus — 48 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
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