Database use, database discrepancies: Implications for content analyses of news

Q2 Social Sciences
Noah Buntain, Carol M. Liebler, Kyle Webster
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引用次数: 0

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.
数据库使用、数据库差异:对新闻内容分析的启示
这项研究的目的是双重的。研究I评估了从数据库中抽样的新闻(2015-2020)的内容分析,以了解哪些是最频繁使用的,并观察研究人员如何证明他们的数据库选择是合理的和情境化的。结果表明,Nexis Uni是最常用的数据库,研究人员很少证明他们的选择是合理的,也很少提及数据库的局限性。接下来,研究二对Factiva、谷歌新闻、NewsBank、NexisUni和ProQuest进行了比较,发现在故事数量、地理范围、媒体类型和特定新闻事件的报道方面存在相当大的差异。
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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来源期刊
Newspaper Research Journal
Newspaper Research Journal Social Sciences-Communication
CiteScore
1.40
自引率
0.00%
发文量
39
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