Repository logo
 

Publication:
A Comparative Sentiment Analysis of Airbnb Hosts and Barcelona Locals Amid Short-Term Rental Policy Reforms

dc.contributor.advisorProf. Dr. Hasan Koç
dc.contributor.authorCarlota Moya Lafuente
dc.contributor.departmentData Science and Business (BA)
dc.contributor.otherBerlin International University of Applied Sciences
dc.date.accessioned2025-12-10T07:55:06Z
dc.date.available2025-12-10T07:55:06Z
dc.date.issued2025
dc.description.abstractThis thesis explores the impact of STRs, in particular Airbnbs, on socioeconomic and demographic variables in Barcelona. Both district-level and sentiment data are analyzed to compare concern gaps between Airbnb hosts and Barcelona residents. A mixed-methods approach with multiple regression models assess the effect of Airbnb listings (as of 2025) to foreign resident density, work location, rental prices, and other variables. This analysis is then complemented with a qualitative sentiment and LDA topic modelling of Airbnb host Reddit discussions, compared to 2024 local municipal survey results. The findings identify a stronger correlation between Airbnb listings and work location than to household prices. Additionally, demographic shifts are strongly associated with Airbnb presence in central districts. This study concludes that a major concern asymmetry is observed between directly affected users (Barcelona residents) and indirectly affected ones (hosts). As a result, a reconsideration of policy reforms and further qualitative research is suggested for the case-study of STR presence in Barcelona, Spain.
dc.description.degreeBA
dc.identifier.urihttps://repository.berlin-international.de/handle/123456789/1224
dc.titleA Comparative Sentiment Analysis of Airbnb Hosts and Barcelona Locals Amid Short-Term Rental Policy Reforms
dc.typeThesis
dspace.entity.typePublication

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
BA Thesis_2203039 1.pdf
Size:
3.32 MB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.53 KB
Format:
Item-specific license agreed to upon submission
Description: