Measuring urban attitudes embedded in microblogging data: shrinking versus growing cities.

This paper explores the use of powerful new software tools and social media data that can be used to study the attitudes of people in urban places. In particular, it uses propensity scoring to develop matched pairs of mid-sized US cities in the North East and Midwest, where the most significant diff...

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Publicado en:TPR: Town Planning Review Vol. 88; no. 4; pp. 465 - 491
Autores principales: Hollander, Justin B., Renski, Henry
Formato: Artículo
Publicado: Liverpool University Press / Journals 2017
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        au:
          Hollander, Justin B.
          Renski, Henry
        affil:
          Associate Professor in Urban and Environmental Policy and Planning at Tufts University, 97 Talbot Ave, Medford, Massachusetts 01519, United States
          Associate Professor of Regional Planning at University of Massachusetts-Amherst, 210 Design Building, 551 North Pleasant Street, Amherst, MA 01003-2901, United States
      su:
        City dwellers
        Microblogs
        Social media
        Sentiment analysis
        Attitude (Psychology)
        Software development tools
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          City dwellers
          Microblogs
          Social media
          Sentiment analysis
          Attitude (Psychology)
          Custom Computer Programming Services
          Computer systems design and related services (except video game design and development)
          Software development tools
      keyword:
        attitudes
        growing
        microblogging
        shrinking
        Twitter
        urban
        attitudes
        growing
        microblogging
        shrinking
        Twitter
        urban
      ab: This paper explores the use of powerful new software tools and social media data that can be used to study the attitudes of people in urban places. In particular, it uses propensity scoring to develop matched pairs of mid-sized US cities in the North East and Midwest, where the most significant difference between each pair is that of population decline. This resulted in a group of fifty declining cities matched with fifty growing or stable cities. Over 300,000 Twitter posts were collected over the course of two months, each analysed for either positive or negative sentiment. After running difference-of-means tests, we found that sentiment in the declining cities does not differ in a statistically significant manner from that in stable and growing cities. These findings suggest that real opportunities exist the better to understand urban attitudes through sentiment analysis of Twitter data.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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