{"title":"从 twitter 元数据解读 2011 年伦敦骚乱","authors":"M. Cheong, S. Ray, D. Green","doi":"10.1109/ISDA.2012.6416660","DOIUrl":null,"url":null,"abstract":"Social media have rapidly become one of the principal venues for personal and public communication. This makes them rich sources of information about real-world events. As a case study, we used Twitter metadata to investigate social dimensions of the 2011 London riots. The results showed that Twitter-based commentary and participation in the London Riots are closely linked to the real-world manifestation of the riots (e.g. in terms of geographic presence). Twitter metadata on users and their messages during the riots can be used to generate useful inferences which allows us to gain a better insight into intents, information-sharing behavior, and demographics of both the rioters and observers of the riots. Pattern recognition approaches can be used to further reveal latent properties from the acquired inferences.","PeriodicalId":370150,"journal":{"name":"2012 12th International Conference on Intelligent Systems Design and Applications (ISDA)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Interpreting the 2011 London riots from twitter metadata\",\"authors\":\"M. Cheong, S. Ray, D. Green\",\"doi\":\"10.1109/ISDA.2012.6416660\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Social media have rapidly become one of the principal venues for personal and public communication. This makes them rich sources of information about real-world events. As a case study, we used Twitter metadata to investigate social dimensions of the 2011 London riots. The results showed that Twitter-based commentary and participation in the London Riots are closely linked to the real-world manifestation of the riots (e.g. in terms of geographic presence). Twitter metadata on users and their messages during the riots can be used to generate useful inferences which allows us to gain a better insight into intents, information-sharing behavior, and demographics of both the rioters and observers of the riots. Pattern recognition approaches can be used to further reveal latent properties from the acquired inferences.\",\"PeriodicalId\":370150,\"journal\":{\"name\":\"2012 12th International Conference on Intelligent Systems Design and Applications (ISDA)\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 12th International Conference on Intelligent Systems Design and Applications (ISDA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISDA.2012.6416660\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 12th International Conference on Intelligent Systems Design and Applications (ISDA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISDA.2012.6416660","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Interpreting the 2011 London riots from twitter metadata
Social media have rapidly become one of the principal venues for personal and public communication. This makes them rich sources of information about real-world events. As a case study, we used Twitter metadata to investigate social dimensions of the 2011 London riots. The results showed that Twitter-based commentary and participation in the London Riots are closely linked to the real-world manifestation of the riots (e.g. in terms of geographic presence). Twitter metadata on users and their messages during the riots can be used to generate useful inferences which allows us to gain a better insight into intents, information-sharing behavior, and demographics of both the rioters and observers of the riots. Pattern recognition approaches can be used to further reveal latent properties from the acquired inferences.