Diversity in Urban Social Media Analytics

  • Jie Yang
  • Claudia Hauff
  • Geert-Jan Houben
  • Christiaan Titos Bolivar
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9671)

Abstract

Social media has emerged as one of the data backbones of urban analytics systems. Thanks to geo-located microposts (text-, image-, and video-based) created and shared through portals such as Twitter and Instagram, scientists and practitioners can capitalise on the availability of real-time and semantically rich data sources to perform studies related to cities and the people inhabiting them. Urban analytics systems usually consider the micro posts originating from within a city’s boundary uniformly, without consideration for the demographic (e.g. gender, age), geographic, technological or contextual (e.g. role in the city) differences among a platform’s users. It is well-known though, that the usage and adoption of social media profoundly differ across user segments, cities, as well as countries. We thus advocate for a better understanding of the intrinsic diversity of social media users and contents.

This paper presents an observational study of the geo-located activities of users across two social media platforms, performed over a period of three weeks in four European cities. We show how demographic, geographical, technological and contextual properties of social media (and their users) can provide very different reflections and interpretations of the reality of an urban environment.

Keywords

Social sensing Urban analytics User analysis 

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Jie Yang
    • 1
  • Claudia Hauff
    • 1
  • Geert-Jan Houben
    • 1
  • Christiaan Titos Bolivar
    • 1
  1. 1.Delft University of TechnologyDelftThe Netherlands

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