Mikaela Karstens, Michael J. Soules, Nick Dietrich
{"title":"论在线新闻数据库数据采集的可复制性","authors":"Mikaela Karstens, Michael J. Soules, Nick Dietrich","doi":"10.1017/S1049096522001317","DOIUrl":null,"url":null,"abstract":"ABSTRACT News databases, such as Factiva and Nexis Uni, are vital for the construction of many commonly used datasets of political events because they provide researchers with access to thousands of diverse news sources. This article raises several issues with news databases that pose a threat to the quality and replicability of data-collection efforts. We recommend best practices for using news databases to gather event data.","PeriodicalId":48096,"journal":{"name":"Ps-Political Science & Politics","volume":null,"pages":null},"PeriodicalIF":2.2000,"publicationDate":"2023-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"On the Replicability of Data Collection Using Online News Databases\",\"authors\":\"Mikaela Karstens, Michael J. Soules, Nick Dietrich\",\"doi\":\"10.1017/S1049096522001317\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT News databases, such as Factiva and Nexis Uni, are vital for the construction of many commonly used datasets of political events because they provide researchers with access to thousands of diverse news sources. This article raises several issues with news databases that pose a threat to the quality and replicability of data-collection efforts. We recommend best practices for using news databases to gather event data.\",\"PeriodicalId\":48096,\"journal\":{\"name\":\"Ps-Political Science & Politics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2023-01-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ps-Political Science & Politics\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://doi.org/10.1017/S1049096522001317\",\"RegionNum\":3,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"POLITICAL SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ps-Political Science & Politics","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1017/S1049096522001317","RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"POLITICAL SCIENCE","Score":null,"Total":0}
On the Replicability of Data Collection Using Online News Databases
ABSTRACT News databases, such as Factiva and Nexis Uni, are vital for the construction of many commonly used datasets of political events because they provide researchers with access to thousands of diverse news sources. This article raises several issues with news databases that pose a threat to the quality and replicability of data-collection efforts. We recommend best practices for using news databases to gather event data.
期刊介绍：
PS: Political Science & Politics provides critical analyses of contemporary political phenomena and is the journal of record for the discipline of political science reporting on research, teaching, and professional development. PS, begun in 1968, is the only quarterly professional news and commentary journal in the field and is the prime source of information on political scientists" achievements and professional concerns. PS: Political Science & Politics is sold ONLY as part of a joint subscription with American Political Science Review and Perspectives on Politics.
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