{"title":"难民和移民研究中的大(危机)数据-乌克兰难民案例研究","authors":"T. Jurić","doi":"10.1515/soeu-2022-0048","DOIUrl":null,"url":null,"abstract":"Abstract This paper presents a review of Big Data sources that could be helpful in determining, estimating, and forecasting the forced emigration flows of refugees from Ukraine. The text shows how a Big Data approach can help assess refugees’ intentions. Using insights from social-media platforms such as Facebook, Instagram, and YouTube is useful, because data here are available faster than any official data in the refugee crisis triggered by the Russian attack on Ukraine on 24 February 2022.","PeriodicalId":29828,"journal":{"name":"Comparative Southeast European Studies","volume":"70 1","pages":"540 - 553"},"PeriodicalIF":0.5000,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Big (Crisis) Data in Refugee and Migration Studies – Case Study of Ukrainian Refugees\",\"authors\":\"T. Jurić\",\"doi\":\"10.1515/soeu-2022-0048\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract This paper presents a review of Big Data sources that could be helpful in determining, estimating, and forecasting the forced emigration flows of refugees from Ukraine. The text shows how a Big Data approach can help assess refugees’ intentions. Using insights from social-media platforms such as Facebook, Instagram, and YouTube is useful, because data here are available faster than any official data in the refugee crisis triggered by the Russian attack on Ukraine on 24 February 2022.\",\"PeriodicalId\":29828,\"journal\":{\"name\":\"Comparative Southeast European Studies\",\"volume\":\"70 1\",\"pages\":\"540 - 553\"},\"PeriodicalIF\":0.5000,\"publicationDate\":\"2022-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Comparative Southeast European Studies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1515/soeu-2022-0048\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"AREA STUDIES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Comparative Southeast European Studies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1515/soeu-2022-0048","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"AREA STUDIES","Score":null,"Total":0}
Big (Crisis) Data in Refugee and Migration Studies – Case Study of Ukrainian Refugees
Abstract This paper presents a review of Big Data sources that could be helpful in determining, estimating, and forecasting the forced emigration flows of refugees from Ukraine. The text shows how a Big Data approach can help assess refugees’ intentions. Using insights from social-media platforms such as Facebook, Instagram, and YouTube is useful, because data here are available faster than any official data in the refugee crisis triggered by the Russian attack on Ukraine on 24 February 2022.
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