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Housing in Affluent vs. Deprived Areas: An Analysis of Online Housing Advertisements in Dublin

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Social Informatics (SocInfo 2019)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11864))

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Abstract

The e-commerce boom has shifted the real estate market to an online medium whereby realtors and owners can post their property listings. A recent focus of the research community has been studying various aspects of these online property portals. We perform a textual analytics study for a popular Irish portal with Dublin being our case-study on account of its severe housing crisis and heterogeneous regions. We extract various textual features from within the property advertisements and analyse their correlations with the deprivation index of the location in which the property is located thereby attempting to understand how affluence of a location influences the way in which advertisements are framed, and thereby aiding the user towards the interpretation of property advertisements. The correlation analysis reveals interesting outcomes depicting tendency of realtors/owners to over emphasize location aspects of a property for affluent locations.

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Notes

  1. 1.

    This is particularly relevant for location-based features.

  2. 2.

    This will be explained in detail in Sect. 3.

  3. 3.

    MLS is the singularly most important database in United States where real estate agents and brokers list real estate properties for sale.

  4. 4.

    Note that a majority of these used online real estate portals multiple times on account of moving house.

  5. 5.

    https://en.wikipedia.org/wiki/Luas.

  6. 6.

    https://en.wikipedia.org/wiki/Dublin_Area_Rapid_Transit.

  7. 7.

    Note that relative index score is included as part of the Pobal index.

  8. 8.

    https://www.figure-eight.com/.

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Acknowledgments

This work is supported by Science Foundation Ireland through the Insight Centre for Data Analytics under SFI/12/RC/2289_P2.

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Authors and Affiliations

  1. Insight Centre for Data Analytics, University College Dublin, Dublin, Ireland

    Arjumand Younus & Michael O’Mahony

  2. ADAPT Centre, Trinity College Dublin, Dublin, Ireland

    M. Atif Qureshi

Authors
  1. Arjumand Younus
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  2. M. Atif Qureshi
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  3. Michael O’Mahony
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Corresponding author

Correspondence to Arjumand Younus .

Editor information

Editors and Affiliations

  1. Qatar Computing Research Institute, Doha, Qatar

    Ingmar Weber

  2. Qatar Computing Research Institute, Doha, Qatar

    Kareem M. Darwish

  3. University of Koblenz-Landau, Koblenz, Germany

    Claudia Wagner

  4. Max Planck Institute for Demographic Research, Rostock, Germany

    Emilio Zagheni

  5. Northeastern University, Boston, MA, USA

    Laura Nelson

  6. Max Planck Institute for Demographic Research, Rostock, Germany

    Samin Aref

  7. GESIS-Leibniz Institute for the Social Sciences, Cologne, Germany

    Fabian Flöck

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Younus, A., Qureshi, M.A., O’Mahony, M. (2019). Housing in Affluent vs. Deprived Areas: An Analysis of Online Housing Advertisements in Dublin. In: Weber, I., et al. Social Informatics. SocInfo 2019. Lecture Notes in Computer Science(), vol 11864. Springer, Cham. https://doi.org/10.1007/978-3-030-34971-4_7

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  • DOI: https://doi.org/10.1007/978-3-030-34971-4_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-34970-7

  • Online ISBN: 978-3-030-34971-4

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