{"title":"数据库使用、数据库差异:对新闻内容分析的启示","authors":"Noah Buntain, Carol M. Liebler, Kyle Webster","doi":"10.1177/07395329231155193","DOIUrl":null,"url":null,"abstract":"The purpose of this research is twofold. Study I assesses content analyses of news (2015–2020) that sampled from databases to see which are used most frequently and to observe how researchers justify and contextualize their database choices. Results indicate that Nexis Uni is the database most commonly employed, and that researchers rarely justify their choice or include mention of database limitations. Next, Study II compares Factiva, Google News, NewsBank, Nexis Uni and ProQuest, finding considerable differences in number of stories, geographic reach, media type and coverage of a specific news event.","PeriodicalId":36011,"journal":{"name":"Newspaper Research Journal","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Database use, database discrepancies: Implications for content analyses of news\",\"authors\":\"Noah Buntain, Carol M. Liebler, Kyle Webster\",\"doi\":\"10.1177/07395329231155193\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The purpose of this research is twofold. Study I assesses content analyses of news (2015–2020) that sampled from databases to see which are used most frequently and to observe how researchers justify and contextualize their database choices. Results indicate that Nexis Uni is the database most commonly employed, and that researchers rarely justify their choice or include mention of database limitations. Next, Study II compares Factiva, Google News, NewsBank, Nexis Uni and ProQuest, finding considerable differences in number of stories, geographic reach, media type and coverage of a specific news event.\",\"PeriodicalId\":36011,\"journal\":{\"name\":\"Newspaper Research Journal\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-02-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Newspaper Research Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/07395329231155193\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Social Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Newspaper Research Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/07395329231155193","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Social Sciences","Score":null,"Total":0}
Database use, database discrepancies: Implications for content analyses of news
The purpose of this research is twofold. Study I assesses content analyses of news (2015–2020) that sampled from databases to see which are used most frequently and to observe how researchers justify and contextualize their database choices. Results indicate that Nexis Uni is the database most commonly employed, and that researchers rarely justify their choice or include mention of database limitations. Next, Study II compares Factiva, Google News, NewsBank, Nexis Uni and ProQuest, finding considerable differences in number of stories, geographic reach, media type and coverage of a specific news event.
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