Changing Trends in Long-Term Sentiments and Neighborhood Determinants in a Shrinking City

Yunmi Park, Minju Kim, Jiyeon Shin, Megan E. Heim LaFrombois

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

This research examined social media’s role in understanding perceptions about the spaces in which individuals interact, what planners can learn from social media data, and how to use social media to inform urban regeneration efforts. Using Twitter data from 2010 to 2018 recorded in one U.S. shrinking city, Detroit, Michigan, this paper longitudinally investigated topics that people discuss, their emotions, and neighborhood conditions associated with these topics and sentiments. Findings demonstrate that neighborhood demographics, socioeconomic, and built environment conditions impact people’s sentiments.

Original languageEnglish
JournalJournal of Planning Education and Research
DOIs
StateAccepted/In press - 2021

Bibliographical note

Funding Information:
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2020R1C1C1008867).

Publisher Copyright:
© The Author(s) 2021.

Keywords

  • Detroit
  • Twitter
  • big data
  • sentiments
  • shrinking cities
  • topic modeling
  • urban regeneration

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