{"title":"\"一场比赛真的是人们死亡的理由吗?对推特上有关印尼足球踩踏事件的言论进行情感和主题分析。","authors":"Otobo I Ujah, Chukwuemeka E Ogbu, Russell S Kirby","doi":"10.3934/publichealth.2023050","DOIUrl":null,"url":null,"abstract":"<p><p>This study examined discourses related to an Indonesian soccer stadium stampede on 1st October 2022 using comments posted on Twitter. We conducted a lexicon-based sentiment analysis to identify the sentiments and emotions expressed in tweets and performed structural topic modeling to identify latent themes in the discourse. The majority of tweets (87.8%) expressed negative sentiments, while 8.2% and 4.0% of tweets expressed positive and neutral sentiments, respectively. The most common emotion expressed was fear (29.3%), followed by sadness and anger. Of the 19 themes identified, \"Deaths and mortality\" was the most prominent (15.1%), followed by \"family impact\". The negative stampede discourse was related to public concerns such as \"vigil\" and \"calls for bans and suspension,\" while positive discourse focused more on the impact of the stampede. Public health institutions can leverage the volume and rapidity of social media to improve disaster prevention strategies.</p>","PeriodicalId":45684,"journal":{"name":"AIMS Public Health","volume":"1 1","pages":"739-754"},"PeriodicalIF":3.1000,"publicationDate":"2023-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10764967/pdf/","citationCount":"0","resultStr":"{\"title\":\"\\\"Is a game really a reason for people to die?\\\" Sentiment and thematic analysis of Twitter-based discourse on Indonesia soccer stampede.\",\"authors\":\"Otobo I Ujah, Chukwuemeka E Ogbu, Russell S Kirby\",\"doi\":\"10.3934/publichealth.2023050\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>This study examined discourses related to an Indonesian soccer stadium stampede on 1st October 2022 using comments posted on Twitter. We conducted a lexicon-based sentiment analysis to identify the sentiments and emotions expressed in tweets and performed structural topic modeling to identify latent themes in the discourse. The majority of tweets (87.8%) expressed negative sentiments, while 8.2% and 4.0% of tweets expressed positive and neutral sentiments, respectively. The most common emotion expressed was fear (29.3%), followed by sadness and anger. Of the 19 themes identified, \\\"Deaths and mortality\\\" was the most prominent (15.1%), followed by \\\"family impact\\\". The negative stampede discourse was related to public concerns such as \\\"vigil\\\" and \\\"calls for bans and suspension,\\\" while positive discourse focused more on the impact of the stampede. Public health institutions can leverage the volume and rapidity of social media to improve disaster prevention strategies.</p>\",\"PeriodicalId\":45684,\"journal\":{\"name\":\"AIMS Public Health\",\"volume\":\"1 1\",\"pages\":\"739-754\"},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2023-09-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10764967/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"AIMS Public Health\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3934/publichealth.2023050\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2023/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"HEALTH CARE SCIENCES & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"AIMS Public Health","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3934/publichealth.2023050","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
"Is a game really a reason for people to die?" Sentiment and thematic analysis of Twitter-based discourse on Indonesia soccer stampede.
This study examined discourses related to an Indonesian soccer stadium stampede on 1st October 2022 using comments posted on Twitter. We conducted a lexicon-based sentiment analysis to identify the sentiments and emotions expressed in tweets and performed structural topic modeling to identify latent themes in the discourse. The majority of tweets (87.8%) expressed negative sentiments, while 8.2% and 4.0% of tweets expressed positive and neutral sentiments, respectively. The most common emotion expressed was fear (29.3%), followed by sadness and anger. Of the 19 themes identified, "Deaths and mortality" was the most prominent (15.1%), followed by "family impact". The negative stampede discourse was related to public concerns such as "vigil" and "calls for bans and suspension," while positive discourse focused more on the impact of the stampede. Public health institutions can leverage the volume and rapidity of social media to improve disaster prevention strategies.