{"title":"Exploring social media: Twitteronomics and beyond","authors":"Tho Pham","doi":"10.4337/9781788976480.00023","DOIUrl":null,"url":null,"abstract":"This chapter presents a comprehensive overview of the tools of analysis of social media data in economic literature. It includes a discussion of the technical details of collection, visualisation, and empirical analysis of data from Twitter and Google Trends using Stata and Python codes. These methods are illustrated in practical examples of the analysis of exchange rate responses to political uncertainty and labour market responses to COVID-19 pandemics. © The Editors and Contributors Severally 2021.","PeriodicalId":401354,"journal":{"name":"Handbook of Research Methods and Applications in Empirical Microeconomics","volume":"109 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Handbook of Research Methods and Applications in Empirical Microeconomics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4337/9781788976480.00023","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
探索社交媒体:twitter经济学及其他
本章全面概述了经济文献中社会媒体数据分析工具。它包括使用Stata和Python代码对Twitter和Google Trends的数据进行收集、可视化和实证分析的技术细节的讨论。通过分析汇率对政治不确定性的反应和劳动力市场对COVID-19大流行的反应的实际例子，说明了这些方法。©编辑和贡献者各自2021。
本文章由计算机程序翻译，如有差异，请以英文原文为准。
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