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Social Interactions or Business Transactions? What customer reviews disclose about Airbnb marketplace

Quattrone, G; Nocera, A; Capra, L; Quercia, D; (2020) Social Interactions or Business Transactions? What customer reviews disclose about Airbnb marketplace. In: Proceedings of The Web Conference 2020 (WWW '20). (pp. pp. 1526-1536). ACM: Taipei, Taiwan. Green open access

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Abstract

Airbnb is one of the most successful examples of sharing economy marketplaces. With rapid and global market penetration, understanding its attractiveness and evolving growth opportunities is key to plan business decision making. There is an ongoing debate, for example, about whether Airbnb is a hospitality service that fosters social exchanges between hosts and guests, as the sharing economy manifesto originally stated, or whether it is (or is evolving into being) a purely business transaction platform, the way hotels have traditionally operated. To answer these questions, we propose a novel market analysis approach that exploits customers’ reviews. Key to the approach is a method that combines thematic analysis and machine learning to inductively develop a custom dictionary for guests’ reviews. Based on this dictionary, we then use quantitative linguistic analysis on a corpus of 3.2 million reviews collected in 6 different cities, and illustrate how to answer a variety of market research questions, at fine levels of temporal, thematic, user and spatial granularity, such as (i) how the business vs social dichotomy is evolving over the years, (ii) what exact words within such top-level categories are evolving, (iii) whether such trends vary across different user segments and (iv) in different neighbourhoods.

Type: Proceedings paper
Title: Social Interactions or Business Transactions? What customer reviews disclose about Airbnb marketplace
Event: The Web Conference 2020
Location: Taipei, Taiwan
Dates: 20 April 2020 - 24 April 2020
Open access status: An open access version is available from UCL Discovery
DOI: 10.1145/3366423.3380225
Publisher version: https://doi.org/10.1145/3366423.3380225
Language: English
Additional information: This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10089457
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