Tweets: Airbnb from Twitter

Published: 10-06-2021| Version 1 | DOI: 10.17632/jrxzfgf49g.1
Contributor:
Phoey Lee Teh

Description

Sharing a set of 6 geographical regions datasets. Kindly refer to the below article for further explanation. Title of paper: Viewing Airbnb from Twitter: factors associated with users' utilization Abstract: 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. The published paper is at https://dl.acm.org/doi/10.1145/3428757.3429112 Phoey Lee Teh, Yeh Ching Low, and Pei Boon Ooi. 2020. Viewing Airbnb from Twitter: factors associated with users' utilization. In Proceedings of the 22nd International Conference on Information Integration and Web-based Applications & Services (iiWAS '20). Association for Computing Machinery, New York, NY, USA, 274–281. DOI:https://doi.org/10.1145/3428757.3429112

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Steps to reproduce

Kindly refer Phoey Lee Teh, Yeh Ching Low, and Pei Boon Ooi. 2020. Viewing Airbnb from Twitter: factors associated with users' utilization. In Proceedings of the 22nd International Conference on Information Integration and Web-based Applications & Services (iiWAS '20). Association for Computing Machinery, New York, NY, USA, 274–281. DOI:https://doi.org/10.1145/3428757.3429112