Using Organic Data in Migration Research

IF 2.4 1区 社会学 Q1 DEMOGRAPHY
Katharine Donato, Jacobs Elizabeth, Singh Lisa, Arab Ali, Wycoff Nathan
{"title":"Using Organic Data in Migration Research","authors":"Katharine Donato, Jacobs Elizabeth, Singh Lisa, Arab Ali, Wycoff Nathan","doi":"10.1177/01979183231193627","DOIUrl":null,"url":null,"abstract":"This paper introduces a special issue of International Migration Review and overviews the promise and limitations of organic data for migration research. We explain different approaches to collecting and analyzing timely open-source organic data, and how it can be integrated with traditional administrative and survey data. After identifying the promise and limitations of specific organic data sources, we offer two empirical examples that illustrate how organic data may be used in research on migration and displacement. One example uses Ukrainian-language tweets to capture changing day-to-day dynamics during the initial stages of an emerging conflict. The second examines how a significant policy change in Colombia is associated with xenophobic conversation about Venezuelan migrants using Spanish-language tweets. Together, they illustrate how organic data may be used to examine the shifting dynamics of migration and forced migration.","PeriodicalId":48229,"journal":{"name":"International Migration Review","volume":"44 1","pages":""},"PeriodicalIF":2.4000,"publicationDate":"2024-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Migration Review","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1177/01979183231193627","RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"DEMOGRAPHY","Score":null,"Total":0}
引用次数: 0

Abstract

This paper introduces a special issue of International Migration Review and overviews the promise and limitations of organic data for migration research. We explain different approaches to collecting and analyzing timely open-source organic data, and how it can be integrated with traditional administrative and survey data. After identifying the promise and limitations of specific organic data sources, we offer two empirical examples that illustrate how organic data may be used in research on migration and displacement. One example uses Ukrainian-language tweets to capture changing day-to-day dynamics during the initial stages of an emerging conflict. The second examines how a significant policy change in Colombia is associated with xenophobic conversation about Venezuelan migrants using Spanish-language tweets. Together, they illustrate how organic data may be used to examine the shifting dynamics of migration and forced migration.
有机数据在迁移研究中的应用
本文介绍了《国际移民评论》的特刊,概述了有机数据在移民研究中的前景和局限性。我们解释了收集和分析及时的开源有机数据的不同方法,以及如何将其与传统的行政和调查数据集成。在确定了特定有机数据源的前景和局限性之后,我们提供了两个实证例子,说明有机数据如何用于迁移和流离失所的研究。一个例子是,在一场新出现的冲突的最初阶段,使用乌克兰语的推文来捕捉不断变化的日常动态。第二篇研究了哥伦比亚的重大政策变化如何与使用西班牙语推特的委内瑞拉移民仇外对话联系在一起。总之,它们说明了如何使用有机数据来检查迁移和被迫迁移的动态变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
7.00
自引率
7.90%
发文量
69
期刊介绍: International Migration Review is an interdisciplinary peer-reviewed journal created to encourage and facilitate the study of all aspects of sociodemographic, historical, economic, political, legislative and international migration. It is internationally regarded as the principal journal in the field facilitating study of international migration, ethnic group relations, and refugee movements. Through an interdisciplinary approach and from an international perspective, IMR provides the single most comprehensive forum devoted exclusively to the analysis and review of international population movements.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信