Abstract
Abstract. This paper explores the use social media data from Twitter to capture perceptions of neighbourhood characteristics, in relation to gentrification. It does this by defining a rudimentary lexicon of words associated with gentrification which was used to calculate gentrification scores for geo-located tweets. These were then interpolated to create the surfaces describing the spatial and temporal patterns of gentrification. There are a number of limitations to the methods used in this study, which are discussed and a number of related areas of future work are indicated.