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.

通过量化纽约市274个邻域中每个区域的Twitter活动和情绪，该研究引入了邻域流行指数，并将该指数的变化与房地产价格相关联，这是衡量邻里变化的一种常用量度。结果表明，社交媒体既提供了近乎实时的态度向社区转变的指示，又提供了对未来邻里构成和需求变化的预警措施。尽管社交媒体数据是对传统数据源的重要补充，但在邻里研究中使用社交媒体引起了人们对数据可访问性和数据代表性和偏倚性公平问题的担忧。