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

Noah Buntain, Carol M. Liebler, Kyle Webster

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)409-424
Number of pages16
JournalNewspaper Research Journal
Issue number4
StatePublished - Dec 2023


  • Factiva
  • Google News
  • NewsBank
  • Nexis Uni
  • ProQuest
  • child separation
  • content analysis
  • database

ASJC Scopus subject areas

  • Communication


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