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Smart City and Images: The Use of Image Hashtags to Get Insights on Citizens

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Smart Objects and Technologies for Social Good (GOODTECHS 2017)

Abstract

The knowledge of citizens’ interests and problems is crucial for the smart management of a city. Up to few years ago, the employment of opinion agencies was mandatory to get this knowledge, but since this process is cost and time consuming, many studies are beginning to exploit social media contents to understand citizens. In particular, the attention is usually focused on textual data, and only few studies consider multimedia contents. In this paper, we investigate whether it is possible to know citizens’ interests and problems by using images published in the Instagram platform. In particular, we propose a method that analyzes and measures the importance of hashtags associated to images. The experimental evaluation shows that images could be an important source of information to understand citizens.

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Author information

Authors and Affiliations

  1. Fondazione Marco Biagi, Università di Modena and Reggio Emilia, 42121, Modena, Italy

    Roberta De Michele

  2. Dipartimento di Comunicazione ed Economia, Università di Modena and Reggio Emilia, 42121, Reggio Emilia, Italy

    Marco Furini

Authors
  1. Roberta De Michele
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  2. Marco Furini
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Correspondence to Marco Furini .

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Editors and Affiliations

  1. University of Pisa, Pisa, Italy

    Barbara Guidi

  2. University of Pisa, Pisa, Italy

    Laura Ricci

  3. Polytechnic University of Valencia, Valencia, Spain

    Carlos Calafate

  4. University of Padua, Padua, Italy

    Ombretta Gaggi

  5. University of Antwerp, Antwerp, Belgium

    Johann Marquez-Barja

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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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De Michele, R., Furini, M. (2018). Smart City and Images: The Use of Image Hashtags to Get Insights on Citizens. In: Guidi, B., Ricci, L., Calafate, C., Gaggi, O., Marquez-Barja, J. (eds) Smart Objects and Technologies for Social Good. GOODTECHS 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 233. Springer, Cham. https://doi.org/10.1007/978-3-319-76111-4_31

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  • DOI: https://doi.org/10.1007/978-3-319-76111-4_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-76110-7

  • Online ISBN: 978-3-319-76111-4

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