What are Airbnb hosts advertising? A longitudinal essay in Lisbon

Detalhes bibliográficos
Autor(a) principal: Santos, M.
Data de Publicação: 2022
Outros Autores: Correia, A., Ribeiro, R., Batista, F.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10071/27171
Resumo: Purpose – Considering the importance of the content created by the host for Airbnb consumers while making purchasing decisions, this study aims to analyze how the Airbnb hosts promote their properties by revealing the predominant attributes considered by hosts when advertising them. Design/methodology/approach – The unstructured textual content of online Airbnb accommodations advertisements (property descriptions) is analyzed through a longitudinal text mining approach. This study defines a pipeline based on a topic modeling approach that allows not only to identity the most prevalent text attributes but also its distribution through time. Findings – This research identifies and characterizes the attributes most advertised over time, on about 30,000 accommodations posted monthly over two years, between 2018 and 2020. Five main topics were identified in the data reflecting only pull motivations. Noteworthy is the slight changes in properties’ descriptions topics along the two years, suggesting that ‘‘service’’ is increasingly being perceived by hosts as an important attribute of Airbnb guest experience. Originality/value – Through a text analysis, this study provides an insight into peer-to-peer accommodation on the key attributes that hosts consider in the description of their properties to leverage the attractiveness of Airbnb. In the light of existing research, which has predominantly focused on the trustworthiness and attractiveness of the Airbnb advertisement, this research differentiates by analyzing the main attributes in text over time. Given the Airbnb’s changes since its inception, a longitudinal view is relevant to clarify how hosts advertise their properties and how it evolves in the light of these changes.
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spelling What are Airbnb hosts advertising? A longitudinal essay in LisbonTopic modelingAirbnbHosts advertisementsPush and pull factorsSharing economyPurpose – Considering the importance of the content created by the host for Airbnb consumers while making purchasing decisions, this study aims to analyze how the Airbnb hosts promote their properties by revealing the predominant attributes considered by hosts when advertising them. Design/methodology/approach – The unstructured textual content of online Airbnb accommodations advertisements (property descriptions) is analyzed through a longitudinal text mining approach. This study defines a pipeline based on a topic modeling approach that allows not only to identity the most prevalent text attributes but also its distribution through time. Findings – This research identifies and characterizes the attributes most advertised over time, on about 30,000 accommodations posted monthly over two years, between 2018 and 2020. Five main topics were identified in the data reflecting only pull motivations. Noteworthy is the slight changes in properties’ descriptions topics along the two years, suggesting that ‘‘service’’ is increasingly being perceived by hosts as an important attribute of Airbnb guest experience. Originality/value – Through a text analysis, this study provides an insight into peer-to-peer accommodation on the key attributes that hosts consider in the description of their properties to leverage the attractiveness of Airbnb. In the light of existing research, which has predominantly focused on the trustworthiness and attractiveness of the Airbnb advertisement, this research differentiates by analyzing the main attributes in text over time. Given the Airbnb’s changes since its inception, a longitudinal view is relevant to clarify how hosts advertise their properties and how it evolves in the light of these changes.Emerald2023-01-12T18:55:24Z2022-01-01T00:00:00Z20222022-12-28T08:08:31Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10071/27171eng2752-666610.1108/CBTH-10-2021-0253Santos, M.Correia, A.Ribeiro, R.Batista, F.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-09T17:43:58Zoai:repositorio.iscte-iul.pt:10071/27171Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:20:48.609407Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv What are Airbnb hosts advertising? A longitudinal essay in Lisbon
title What are Airbnb hosts advertising? A longitudinal essay in Lisbon
spellingShingle What are Airbnb hosts advertising? A longitudinal essay in Lisbon
Santos, M.
Topic modeling
Airbnb
Hosts advertisements
Push and pull factors
Sharing economy
title_short What are Airbnb hosts advertising? A longitudinal essay in Lisbon
title_full What are Airbnb hosts advertising? A longitudinal essay in Lisbon
title_fullStr What are Airbnb hosts advertising? A longitudinal essay in Lisbon
title_full_unstemmed What are Airbnb hosts advertising? A longitudinal essay in Lisbon
title_sort What are Airbnb hosts advertising? A longitudinal essay in Lisbon
author Santos, M.
author_facet Santos, M.
Correia, A.
Ribeiro, R.
Batista, F.
author_role author
author2 Correia, A.
Ribeiro, R.
Batista, F.
author2_role author
author
author
dc.contributor.author.fl_str_mv Santos, M.
Correia, A.
Ribeiro, R.
Batista, F.
dc.subject.por.fl_str_mv Topic modeling
Airbnb
Hosts advertisements
Push and pull factors
Sharing economy
topic Topic modeling
Airbnb
Hosts advertisements
Push and pull factors
Sharing economy
description Purpose – Considering the importance of the content created by the host for Airbnb consumers while making purchasing decisions, this study aims to analyze how the Airbnb hosts promote their properties by revealing the predominant attributes considered by hosts when advertising them. Design/methodology/approach – The unstructured textual content of online Airbnb accommodations advertisements (property descriptions) is analyzed through a longitudinal text mining approach. This study defines a pipeline based on a topic modeling approach that allows not only to identity the most prevalent text attributes but also its distribution through time. Findings – This research identifies and characterizes the attributes most advertised over time, on about 30,000 accommodations posted monthly over two years, between 2018 and 2020. Five main topics were identified in the data reflecting only pull motivations. Noteworthy is the slight changes in properties’ descriptions topics along the two years, suggesting that ‘‘service’’ is increasingly being perceived by hosts as an important attribute of Airbnb guest experience. Originality/value – Through a text analysis, this study provides an insight into peer-to-peer accommodation on the key attributes that hosts consider in the description of their properties to leverage the attractiveness of Airbnb. In the light of existing research, which has predominantly focused on the trustworthiness and attractiveness of the Airbnb advertisement, this research differentiates by analyzing the main attributes in text over time. Given the Airbnb’s changes since its inception, a longitudinal view is relevant to clarify how hosts advertise their properties and how it evolves in the light of these changes.
publishDate 2022
dc.date.none.fl_str_mv 2022-01-01T00:00:00Z
2022
2022-12-28T08:08:31Z
2023-01-12T18:55:24Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10071/27171
url http://hdl.handle.net/10071/27171
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2752-6666
10.1108/CBTH-10-2021-0253
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dc.publisher.none.fl_str_mv Emerald
publisher.none.fl_str_mv Emerald
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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