Abstract
By quantifying Twitter activity and sentiment for each of 274 neighborhood areas in New York City, this study introduces the Neighborhood Popularity Index and correlates changes in the index with real estate prices, a common measure of neighborhood change. Results show that social media provide both a near-real-time indicator of shifting attitudes toward neighborhoods and an early warning measure of future changes in neighborhood composition and demand. Although social media data provide an important complement to traditional data sources, the use of social media for neighborhood studies raises concerns regarding data accessibility and equity issues in data representativeness and bias.
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