The Semantic Evolution of General and Specific Communities
Content injection methods rely on understanding community dynamics (i.e. attention factors) in order to publish content that community users will engage with (e.g. product-related posts), however such methods require re-training should the community’s discussed topics change. In this paper we present an examination of the semantic evolution of community forums by measuring the topical specificity of online community forums and then tracking changes in the concepts discussed within the forums over time. Our results indicate that general discussion communities tend to diverge in their semantics, while topically-specific communities do not. These findings inform content injection methods on model longevity and the need for adaptation for general communities.
KeywordsOnline Community Cosine Similarity Eigenvector Centrality 27th IEEE International Confer Community Forum
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