Viewing Airbnb from Twitter: factors associated with users’ utilization.
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 qualitative...
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| Format: | Conference or Workshop Item |
| Language: | English |
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2020
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| Online Access: | http://eprints.sunway.edu.my/1537/ http://eprints.sunway.edu.my/1537/1/Teh%20Phoey%20Lee%20Preprint%20-%20ACM%20Airbnb.pdf |
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| author | Teh, Phoey Lee * Low, Yeh Ching * Ooi, Pei Boon * |
| author_facet | Teh, Phoey Lee * Low, Yeh Ching * Ooi, Pei Boon * |
| author_sort | Teh, Phoey Lee * |
| building | SU Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T21:17:40Z |
| format | Conference or Workshop Item |
| id | sunway-1537 |
| institution | Sunway University |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T21:17:40Z |
| publishDate | 2020 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | sunway-15372020-12-07T02:04:16Z http://eprints.sunway.edu.my/1537/ Viewing Airbnb from Twitter: factors associated with users’ utilization. Teh, Phoey Lee * Low, Yeh Ching * Ooi, Pei Boon * HM Sociology QA75 Electronic computers. Computer science 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. 2020 Conference or Workshop Item PeerReviewed text en cc_by_nc_4 http://eprints.sunway.edu.my/1537/1/Teh%20Phoey%20Lee%20Preprint%20-%20ACM%20Airbnb.pdf 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. http://www.iiwas.org/conferences/iiwas2020/proceedings/iiwas-papers/index.html |
| spellingShingle | HM Sociology QA75 Electronic computers. Computer science Teh, Phoey Lee * Low, Yeh Ching * Ooi, Pei Boon * Viewing Airbnb from Twitter: factors associated with users’ utilization. |
| title | Viewing Airbnb from Twitter: factors associated with users’
utilization. |
| title_full | Viewing Airbnb from Twitter: factors associated with users’
utilization. |
| title_fullStr | Viewing Airbnb from Twitter: factors associated with users’
utilization. |
| title_full_unstemmed | Viewing Airbnb from Twitter: factors associated with users’
utilization. |
| title_short | Viewing Airbnb from Twitter: factors associated with users’
utilization. |
| title_sort | viewing airbnb from twitter: factors associated with users’
utilization. |
| topic | HM Sociology QA75 Electronic computers. Computer science |
| url | http://eprints.sunway.edu.my/1537/ http://eprints.sunway.edu.my/1537/ http://eprints.sunway.edu.my/1537/1/Teh%20Phoey%20Lee%20Preprint%20-%20ACM%20Airbnb.pdf |