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{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,7]],"date-time":"2024-09-07T11:24:36Z","timestamp":1725708276326},"reference-count":40,"publisher":"Association for Computing Machinery (ACM)","issue":"CSCW1","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["Proc. ACM Hum.-Comput. Interact."],"published-print":{"date-parts":[[2021,4,13]]},"abstract":"There is a rumbling debate over the impact of gentrification: presumed gentrifiers have been the target of protests and attacks in some cities, while they have been welcome as generators of new jobs and taxes in others. Census data fails to measure neighborhood change in real-time since it is usually updated every ten years. This work shows that Airbnb data can be used to quantify and track neighborhood changes. Specifically, we consider both structured data (e.g., number of listings, number of reviews, listing information) and unstructured data (e.g., user-generated reviews processed with natural language processing and machine learning algorithms) for three major cities, New York City (US), Los Angeles (US), and Greater London (UK). We find that Airbnb data (especially its unstructured part) appears to nowcast neighborhood gentrification, measured as changes in housing affordability and demographics. Overall, our results suggest that user-generated data from online platforms can be used to create socioeconomic indices to complement traditional measures that are less granular, not in real-time, and more costly to obtain.<\/jats:p>","DOI":"10.1145\/3449112","type":"journal-article","created":{"date-parts":[[2021,4,22]],"date-time":"2021-04-22T17:47:59Z","timestamp":1619113679000},"page":"1-21","update-policy":"http:\/\/dx.doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":10,"title":["Nowcasting Gentrification Using Airbnb Data"],"prefix":"10.1145","volume":"5","author":[{"given":"Shomik","family":"Jain","sequence":"first","affiliation":[{"name":"University of Southern California, Los Angeles, CA, USA"}]},{"given":"Davide","family":"Proserpio","sequence":"additional","affiliation":[{"name":"University of Southern California, Los Angeles, CA, USA"}]},{"given":"Giovanni","family":"Quattrone","sequence":"additional","affiliation":[{"name":"Middlesex University & University of Turin, London, United Kingdom"}]},{"given":"Daniele","family":"Quercia","sequence":"additional","affiliation":[{"name":"King's College & Nokia Bell Labs, Cambridge, United Kingdom"}]}],"member":"320","published-online":{"date-parts":[[2021,4,22]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.3386\/w20010"},{"key":"e_1_2_1_2_1","doi-asserted-by":"crossref","unstructured":"Suman Basuroy Yongseok Kim and Davide Proserpio. 2020. Estimating the impact of Airbnb on the local economy: Evidence from the restaurant industry.","DOI":"10.2139\/ssrn.3516983"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.50"},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1162\/jmlr.2003.3.4--5.993"},{"key":"e_1_2_1_5_1","unstructured":"Chris Bousquet. 2017. Where is Gentrification Happening in Your City? https:\/\/datasmart.ash.harvard.edu\/news\/ article\/where-is-gentrification-happening-in-your-city-1055"},{"key":"e_1_2_1_6_1","volume-title":"S1901","author":"Census Bureau American Community Surveys.","year":"2013","unstructured":"Census Bureau American Community Surveys. 2013--2017. Tables S0101, S1501, S1901, K202507. https:\/\/data.census.gov"},{"key":"e_1_2_1_7_1","volume-title":"Beyond Gentrification: Toward More Equitable Urban Growth. https: \/\/urbanreforminstitute.org\/wp-content\/uploads\/2019\/01\/Toward-More-Equitable-Urban-Growth.pdf","author":"Center for Opportunity Urbanism.","year":"2019","unstructured":"Center for Opportunity Urbanism. 2019. Beyond Gentrification: Toward More Equitable Urban Growth. https: \/\/urbanreforminstitute.org\/wp-content\/uploads\/2019\/01\/Toward-More-Equitable-Urban-Growth.pdf"},{"key":"e_1_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1509\/jmkr.43.3.345"},{"key":"e_1_2_1_9_1","unstructured":"Ian Cope. 2016. 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Levy, Jennifer Comey, and Sandra Padilla. 2007. In the Face of Gentrification: Case Studies of Local Efforts to Mitigate Displacement. Journal of Affordable Housing and Community Development Law 16, 3 (2007), 238--315. http:\/\/www.jstor.org\/stable\/25781105","journal-title":"Journal of Affordable Housing and Community Development Law"},{"key":"e_1_2_1_22_1","volume-title":"Visual Listening In: Extracting Brand Image Portrayed on Social Media. In Workshops at the Thirty-Second AAAI Conference on Artificial Intelligence.","author":"Liu Liu","year":"2018","unstructured":"Liu Liu, Daria Dzyabura, and Natalie Mizik. 2018. Visual Listening In: Extracting Brand Image Portrayed on Social Media. In Workshops at the Thirty-Second AAAI Conference on Artificial Intelligence."},{"key":"e_1_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1177\/0022243719866690"},{"key":"e_1_2_1_24_1","volume-title":"The Case of Yelp.com. 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Population Estimates. https:\/\/ons.gov.uk\/peoplepopulationandcommunity\/populationandmigration\/populationestimates"},{"key":"e_1_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/2908131.2913008"},{"key":"e_1_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1140\/epjds"},{"key":"e_1_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380225"},{"key":"e_1_2_1_33_1","doi-asserted-by":"publisher","unstructured":"Giovanni Quattrone Davide Proserpio Daniele Quercia Licia Capra and Mirco Musolesi. 2016. Who Benefits from the \"Sharing\" Economy of Airbnb?. In Proceedings of the 25th International Conference on World Wide Web (Montr\u00e9al Qu\u00e9bec Canada) (WWW '16). International World Wide Web Conferences Steering Committee Republic and Canton of Geneva CHE 1385-1394. https:\/\/doi.org\/10.1145\/2872427.2874815","DOI":"10.1145\/2872427.2874815"},{"key":"e_1_2_1_34_1","unstructured":"Danny Shaw. 2020. 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