Network Connections and Neighbourhood Perception: Using Social Media Postings to Capture Attitudes among Twitter Users in Estonia (2017).
Photo by Camden Miller
The residential landscape of a city is key to its economic, social, and cultural functioning. Following the collapse of communist rule in the countries of Central and Eastern Europe (CEE) in the late 1980s and early 1990s, urban residential dynamics and household mobility have been critical to urban change under new economies and political systems. This article explores neighbourhood perception, which is a link in the chain to better explanation of socio-spatial processes (and their interruption by the socialist system). We use a novel data set ‒ opinions expressed on one of social media (Twitter), and a novel empirical method ‒ neural network analysis, to explore people’s current attitudes and perceptions about the neighbourhoods and districts in Tartu, Estonia. Continue reading New publication in Journal of Architecture and Urban Planning
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