Scholar4AI Updated 2026-11-04 18:03 UTC+09:00

Airbnb

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data category: Online reviews, e-commerce and recommender data · 0 papers in the last 7 days

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Product and service reviews, ratings, purchases and user-item interactions.

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Names searched for: Airbnb

Key findings#

  • From Nov 2023 to Oct 2026, 452 archived papers mentioned Airbnb in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Jan 2025 (24).
  • Airbnb was mentioned in 6 papers in the last 30 days (2026-10-06 to 2026-11-04), ranking #56 of the 255 datasets mentioned.
  • By journal category: Economics (2), AI (1), Management (1), Information Systems (1) and Tourism and Hospitality (1).
  • Most of them appeared in Data Mining and Knowledge Discovery (1), Letters in Spatial and Resource Sciences (1) and Journal of Economic Dynamics and Control (1).
  • From 2017 to 2026 (so far), Airbnb was mentioned in 777 papers in the tracked journals, most of them in tourism and hospitality (311), management (168) and economics (93).
  • 148 of them were published in 2025, against 23 in 2017.
  • Since 2023, the institutions with the most of these papers were Virginia Tech (12), Hong Kong Polytechnic University (10) and University of Bologna (10).
  • The journals publishing most of them were International Journal of Hospitality Management (40), Journal of Business Research (30) and Tourism Management (25).
  • The most-cited of them is “The eruption of Airbnb in tourist cities: Comparing spatial patterns of hotels and peer-to-peer accommodation in Barcelona” (Tourism Management, 2017), with 676 citations.
  • Papers use Airbnb most often with Facebook (103), Twitter / X (72) and YouTube / TikTok (56); it has 41 partners in the code and data network, in the group around Twitter / X, Facebook, YouTube / TikTok.

Mentions over 36 months#

Papers mentioning it by publication month, Nov 2023 to Oct 2026 (titles, abstracts and keywords; the full texts of earlier months are still being searched)
TrendNov 23–Oct 24Nov 24–Oct 25Nov 25–Oct 2636 months
159150143452

Papers per year#

2017: 23 papers2018: 38 papers2019: 56 papers2020: 52 papers2021: 56 papers2022: 50 papers2023: 73 papers2024: 160 papers2025: 148 papers2026 (so far): 121 papers
20172026 (so far)
Papers per publication year and category
Category2017201820192020202120222023202420252026 (so far)
Tourism and Hospitality11244136362622464227
Management24529720374834
Economics43424510211723
Information Systems4527565171511
Marketing001313911714
AI00111125125
Operations Research00110041601
Finance1100001242
Statistics0010020312
Accounting1100000201
Higher Education and Research0000000011
Health Economics and Policy0000000010
All categories23385652565073160148121

Where the papers come from#

Countries with the most papers, since 2023
#CountryPapers
1United States115
2United Kingdom109
3China56
4Spain56
5Italy54
6Germany45
7France40
8Australia29
9Netherlands29
10Finland22
Keywords with the most papers, since 2023
#KeywordPapers
1Airbnb124
2sharing economy52
3COVID-19 pandemic32
4peer-to-peer accommodation31
5short-term rentals31
6digital platforms24
7online reviews22
8trust18
9short-term rental platforms15
10consumer behavior14

Most-cited papers#

Archive counts by publication year: a paper counts when its title, abstract or keywords name the dataset, or when OpenAlex's full-text search finds it there (searched for the last 30 days' papers and, by a pass over the past years, for older ones). Names added to the list later are looked for in older papers as the archive is read again.

Used together with#

Papers use Airbnb most often with Facebook (103), Twitter / X (72) and YouTube / TikTok (56); it has 41 partners in the code and data network, in the group around Twitter / X, Facebook, YouTube / TikTok. The whole network →

What papers use Airbnb together with (at least 3 papers; lift 1 = chance)
Used withTypePapers using bothLift
FacebookDataset1032.1
Twitter / XDataset721.0
YouTube / TikTokDataset561.9
TripAdvisorDataset496.7
LinkedInDataset372.7
YelpDataset294.8
EurostatDataset200.8
Amazon Mechanical TurkDataset192.0
WikipediaDataset140.8
Google TrendsDataset131.2
RedditDataset121.2
WITS / TRAINS tariff dataDataset90.8
Papers mentioning Airbnb in the last 30 days, newest first.
DateTitleJournalAuthorsAffiliations
2026-10-27Meta additive model: interpretable sparse learning with auto weightingData Mining and Knowledge DiscoveryXuelin Zhang, Xinyue Liu, Lingjuan Wu et al.Huazhong Agricultural University; Dongfeng Motor (China)
2026-10-21Modeling the determinants of urban short-term rental prices in Gambia: a case of Greater Banjul AreaLetters in Spatial and Resource SciencesRodrigue Samb, Uttam Kumar Roy, Manavvi S.Indian Institute of Technology Roorkee; University of the Gambia
2026-10-16Computing and learning stationary mean field equilibria with low-dimensional interactions: Algorithms and applicationsJournal of Economic Dynamics and ControlBar LightNational University of Singapore; Institute of Operations Research and Analytics
2026-10-13Toward an agenda for Gen Z in Indian start-ups: a systematic literature mapping and conceptual frameworkFuture Business JournalSoumya Mukherjee, Chandrika Bhattacharyya, Mrinal Kanti DasSwami Vivekananda University; Kanchrapara College
2026-10-10Can AI Solve Eco-Economic Challenges? Simulating the Impact of AI Systems on Seasonality Using Agent-Based ModellingInformation Systems FrontiersSara DalirUniversity of Hull
2026-10-08Emotional geography of tourism resistance: Claiming the right to the city in overtourism destinationsJournal of Hospitality and Tourism ManagementFatemeh Bagheri, Zohreh Zara Zarezadeh, Zahed Ghaderi et al.University of Algarve; Griffith University; Sultan Qaboos University
Cite this page

Scholar4AI. (2026). Airbnb. Journal and Conference Research Rankings. Retrieved November 4, 2026, from https://scholar4ai.com/datasets/airbnb

@misc{scholar4ai-datasets-airbnb,
  author = {{Scholar4AI}},
  title = {Airbnb},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/airbnb}},
  urldate = {2026-11-04},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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