Evolving Emotions: Tracing Social Media Narratives in the Wake of the Manchester Arena Bombing

20786 11 111137 2 336230 document 111137 1-s2.0-S2212420925005461-main.pdf application/pdf 5d278b65294f8a6c2d9abb47ed3b5a3c MD5 5253878 2025-09-17 07:59:25 https://pure.iiasa.ac.at/id/eprint/20786/7/1-s2.0-S2212420925005461-main.pdf 20786 7 7 application/pdf text en public cc_by_4

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published 111140 2 336250 document 111140 lightbox.jpg image/png 012ad2360f4e00fa67f7802c9b469d77 MD5 47151 2025-09-17 08:09:35 https://pure.iiasa.ac.at/id/eprint/20786/8/lightbox.jpg 20786 8 8 image/png other Thumbnails conversion from text to thumbnail_lightbox en public

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/111137 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/111137 http://eprints.org/relation/isIndexCodesVersionOf https://pure.iiasa.ac.at/id/document/111137 archive 353 disk0/00/02/07/86 2025-07-30 07:16:18 2025-09-17 08:00:33 2025-07-30 07:16:18 article show 1 Castellanos Diaz L.A. Edjossan-Sossou A. Komendantova N. 1880 0000-0003-2568-6179 Evolving Emotions: Tracing Social Media Narratives in the Wake of the Manchester Arena Bombing pub ASA CAT social media, Twitter, Semantic analysis, Manmade disasters, 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. 2025-07-28 published Elsevier 10.1016/j.ijdrr.2025.105722 161 public International Journal of Disaster Risk Reduction 129 e105722 TRUE 2212-4209 Evolving Emotions: Tracing Social Media Narratives in the Wake of the Manchester Arena Bombing info:eu-repo/semantics/article