Viewing Airbnb from Twitter: factors associated with users’ utilization.

Teh, Phoey Lee * and Low, Yeh Ching * and Ooi, Pei Boon * (2020) Viewing Airbnb from Twitter: factors associated with users’ utilization. In: 22nd International Conference on Information Integration and Web-based Applications & Services (iiWAS2020), 30 November - 2 December 2020, Chiang Mai, Thailand.

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Airbnb is a peer-to-peer accommodation website in the sharing economy. Past studies have examined the factors associated with Airbnb utilization from various platforms, but not exclusively from Twitter. A total of 21,097 tweets was collected in a period of two months, and the tweets were qualitatively analyzed with the help of text analysis tools to verify the discourse of discussion. Literature was reviewed for common factors attracting clients to an Airbnb accommodation. Factors were then qualitatively analyzed and compiled using Wmatrix, and the themes that emerged were: Price and status, social interaction and communication, location, reputation, amenities and a pet-friendly environment. This result provides a deeper insight to Airbnb hosts to strategize and add value to their current market situations.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published by ACM
Uncontrolled Keywords: Airbnb; Sharing economy; Tweets; Price and status; Pet-friendly environment
Subjects: H Social Sciences > HM Sociology
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Sunway University > School of Engineering and Technology [formerly School of Science and Technology until 2020] > Dept. Computing and Information Systems
Sunway University > School of Medical and Life Sciences [formerly School of Healthcare and Medical Sciences until 2020] > Department of Medical Sciences
Depositing User: Dr Janaki Sinnasamy
Related URLs:
Date Deposited: 07 Dec 2020 02:04
Last Modified: 07 Dec 2020 02:04

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