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ThinkMind // DATA ANALYTICS 2019, The Eighth International Conference on Data Analytics // View article data_analytics_2019_3_20_68004


Effects of New Media on Eviction Rates

Authors:
Regina Ruane

Keywords: network analysis; text analysis; eviction

Abstract:
Social media has impacted society in many unexpected ways, including the real estate and housing markets. Particularly, in these markets, social media can affect the structure of the communities, landlord-tenant relationships and, subsequently, the eviction problem. With the growing availability of search data from online sources, there is increasing interest in how individuals’ choices reveal submarkets in domains, especially those that have a social component, i.e. online reviews and connection to social media among others. By demonstrating the structural components of the subnetworks that develop via the rental market that cause eviction and the market outcomes that result. This research aims to combine online review and social media data with eviction data to explore the range of effects of new media on the eviction rates.

Pages: 55 to 56

Copyright: Copyright (c) IARIA, 2019

Publication date: September 22, 2019

Published in: conference

ISSN: 2308-4464

ISBN: 978-1-61208-741-2

Location: Porto, Portugal

Dates: from September 22, 2019 to September 26, 2019

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