What and Where Are We Tweeting About Black Friday?

Xinyue Ye, Bing She, Wenwen Li, Sonali Kudva, Samuel Benya

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Most studies on Black Friday have largely relied on survey or sales data from case studies of specific cities, which are lack of spatial-temporal granularity. The recent development of location-aware technologies has enabled what Goodchild described as “humans as sensors”, and as a result there has been a large volume of volunteered geographic information with explicitly spatial and temporal tags. Mining these rapidly growing and timely data in the context of space-time synthesis provides a new perspective for understanding the pulse of shopping behavior. In this chapter, we analyze Black Friday patterns and trends in the USA using a dataset retrieved from Twitter. A spatial-temporal analysis of tweeting patterns is conducted. This study tries to discern patterns of tweets on Black Friday in a comparative context.

Original languageEnglish (US)
Title of host publicationUrban and Regional Planning and Development
Subtitle of host publication20th Century Forms and 21st Century Transformations
PublisherSpringer International Publishing
Pages173-186
Number of pages14
ISBN (Electronic)9783030317768
ISBN (Print)9783030317751
DOIs
StatePublished - Jan 1 2020

All Science Journal Classification (ASJC) codes

  • Social Sciences(all)
  • Environmental Science(all)
  • Economics, Econometrics and Finance(all)
  • Business, Management and Accounting(all)

Keywords

  • Black friday
  • Shopping behavior
  • Spatial-temporal data
  • Twitter
  • Volunteered geographic information

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