Li Yin , Jiao Dai , Robert Mark Silverman , Liang Wu , Henry Louis Taylor. Jr.
{"title":"Public discourse in the aftermath of the 2022 mass shooting in Buffalo, NY: Insights from social media data and ChatGPT","authors":"Li Yin , Jiao Dai , Robert Mark Silverman , Liang Wu , Henry Louis Taylor. Jr.","doi":"10.1016/j.cities.2025.106440","DOIUrl":null,"url":null,"abstract":"<div><div>Recent studies highlight the importance of transformative changes in planning and policymaking to enhance collaboration and effectiveness using new data sources and advanced tools. This study examines the potential of the NLP application in urban planning and the limitations of social media data in capturing local community concerns. Mass shootings have surged dramatically in the U.S., becoming alarmingly common, a troubling trend that is also evident globally. We investigated the dominant semantic topics and sentiments on Twitter about Buffalo's racially segregated East Side neighborhoods since the 2022 mass shooting, using natural language processing (NLP) and ChatGPT. The findings reveal a shift in discussions toward the shooter and broader issues of racism, rather than structural inequalities and local conditions in the Black community. Tweets primarily expressed sadness and anger, but also advocacy. Effective policy-making, such as post-massacre gun control, may have influenced social media discussions. At the same time, the government's failure to address structural racism and deliver promised improvements may create a disconnection between community needs and their online representations.</div></div>","PeriodicalId":48405,"journal":{"name":"Cities","volume":"168 ","pages":"Article 106440"},"PeriodicalIF":6.6000,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cities","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0264275125007413","RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"URBAN STUDIES","Score":null,"Total":0}
引用次数: 0
Abstract
Recent studies highlight the importance of transformative changes in planning and policymaking to enhance collaboration and effectiveness using new data sources and advanced tools. This study examines the potential of the NLP application in urban planning and the limitations of social media data in capturing local community concerns. Mass shootings have surged dramatically in the U.S., becoming alarmingly common, a troubling trend that is also evident globally. We investigated the dominant semantic topics and sentiments on Twitter about Buffalo's racially segregated East Side neighborhoods since the 2022 mass shooting, using natural language processing (NLP) and ChatGPT. The findings reveal a shift in discussions toward the shooter and broader issues of racism, rather than structural inequalities and local conditions in the Black community. Tweets primarily expressed sadness and anger, but also advocacy. Effective policy-making, such as post-massacre gun control, may have influenced social media discussions. At the same time, the government's failure to address structural racism and deliver promised improvements may create a disconnection between community needs and their online representations.
期刊介绍:
Cities offers a comprehensive range of articles on all aspects of urban policy. It provides an international and interdisciplinary platform for the exchange of ideas and information between urban planners and policy makers from national and local government, non-government organizations, academia and consultancy. The primary aims of the journal are to analyse and assess past and present urban development and management as a reflection of effective, ineffective and non-existent planning policies; and the promotion of the implementation of appropriate urban policies in both the developed and the developing world.