{"title":"不断演变的情绪:追踪曼彻斯特竞技场爆炸事件后的社交媒体叙事","authors":"Leydy Alejandra Castellanos , Abla Edjossan-Sossou , Nadejda Komendantova","doi":"10.1016/j.ijdrr.2025.105722","DOIUrl":null,"url":null,"abstract":"<div><div>Individual's behavior and sentiment in online environments have become increasingly reactive to disaster events. Monitoring and analyzing these behaviors and sentiments in the context of manmade disasters provides valuable insights for crisis management professionals. These analytical processes help develop a comprehensive understanding of evolving situations, support effective response strategies, and contribute to societal stability. Employing appropriate methodologies and tools enables the capture and tracking of semantic shifts in social media communications, offering a means to observe their evolution over time.</div><div>In this study, we present research conducted on the Manchester Arena Bombing incident in the United Kingdom, which occurred on May 22, 2017, focusing on leveraging data from Twitter (now X). Using Orange, a text-mining analysis software, we explored key discussion topics and their dynamics from messages published immediately after the incident up to a week and a month later. The results demonstrate the evolution of emotional expressions in citizens’ messages during each disaster phase analyzed, including the prevalence of negative and positive sentiments during the recovery phase.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"129 ","pages":"Article 105722"},"PeriodicalIF":4.5000,"publicationDate":"2025-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evolving emotions: Tracing social media narratives in the wake of the Manchester Arena Bombing\",\"authors\":\"Leydy Alejandra Castellanos , Abla Edjossan-Sossou , Nadejda Komendantova\",\"doi\":\"10.1016/j.ijdrr.2025.105722\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Individual's behavior and sentiment in online environments have become increasingly reactive to disaster events. Monitoring and analyzing these behaviors and sentiments in the context of manmade disasters provides valuable insights for crisis management professionals. These analytical processes help develop a comprehensive understanding of evolving situations, support effective response strategies, and contribute to societal stability. Employing appropriate methodologies and tools enables the capture and tracking of semantic shifts in social media communications, offering a means to observe their evolution over time.</div><div>In this study, we present research conducted on the Manchester Arena Bombing incident in the United Kingdom, which occurred on May 22, 2017, focusing on leveraging data from Twitter (now X). Using Orange, a text-mining analysis software, we explored key discussion topics and their dynamics from messages published immediately after the incident up to a week and a month later. The results demonstrate the evolution of emotional expressions in citizens’ messages during each disaster phase analyzed, including the prevalence of negative and positive sentiments during the recovery phase.</div></div>\",\"PeriodicalId\":13915,\"journal\":{\"name\":\"International journal of disaster risk reduction\",\"volume\":\"129 \",\"pages\":\"Article 105722\"},\"PeriodicalIF\":4.5000,\"publicationDate\":\"2025-07-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International journal of disaster risk reduction\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2212420925005461\",\"RegionNum\":1,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"GEOSCIENCES, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of disaster risk reduction","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2212420925005461","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
Evolving emotions: Tracing social media narratives in the wake of the Manchester Arena Bombing
Individual's behavior and sentiment in online environments have become increasingly reactive to disaster events. Monitoring and analyzing these behaviors and sentiments in the context of manmade disasters provides valuable insights for crisis management professionals. These analytical processes help develop a comprehensive understanding of evolving situations, support effective response strategies, and contribute to societal stability. Employing appropriate methodologies and tools enables the capture and tracking of semantic shifts in social media communications, offering a means to observe their evolution over time.
In this study, we present research conducted on the Manchester Arena Bombing incident in the United Kingdom, which occurred on May 22, 2017, focusing on leveraging data from Twitter (now X). Using Orange, a text-mining analysis software, we explored key discussion topics and their dynamics from messages published immediately after the incident up to a week and a month later. The results demonstrate the evolution of emotional expressions in citizens’ messages during each disaster phase analyzed, including the prevalence of negative and positive sentiments during the recovery phase.
期刊介绍:
The International Journal of Disaster Risk Reduction (IJDRR) is the journal for researchers, policymakers and practitioners across diverse disciplines: earth sciences and their implications; environmental sciences; engineering; urban studies; geography; and the social sciences. IJDRR publishes fundamental and applied research, critical reviews, policy papers and case studies with a particular focus on multi-disciplinary research that aims to reduce the impact of natural, technological, social and intentional disasters. IJDRR stimulates exchange of ideas and knowledge transfer on disaster research, mitigation, adaptation, prevention and risk reduction at all geographical scales: local, national and international.
Key topics:-
-multifaceted disaster and cascading disasters
-the development of disaster risk reduction strategies and techniques
-discussion and development of effective warning and educational systems for risk management at all levels
-disasters associated with climate change
-vulnerability analysis and vulnerability trends
-emerging risks
-resilience against disasters.
The journal particularly encourages papers that approach risk from a multi-disciplinary perspective.