Journalism & Mass Communication Quarterly· 2015Q1· Review
Issues and Best Practices in Content Analysis
- 458citations
- Q1SCImago
- 2015year
Short summary
This review outlines key issues and best practices in content analysis, focusing on sampling via search/databases, distinguishing content analysis from algorithmic text analysis, and appropriate reliability coefficient reporting.
AI-generated from the title and abstract; the full text is not read.
Key points
- Discusses sampling strategies using search engines and databases.
- Differentiates content analysis from algorithmic text analysis.
- Identifies essential reliability coefficients for calculation and reporting.
- Provides a framework for conducting and reporting content analysis.
AI-generated from the title and abstract; the full text is not read.
Abstract
This article discusses three issues concerning content analysis method and ends with a list of best practices in conducting and reporting content analysis projects. Issues addressed include the use of search and databases for sampling, the differences between content analysis and algorithmic text analysis, and which reliability coefficients should be calculated and reported. The “Best Practices” section provides steps to produce reliable and valid content analysis data and the appropriate reporting of those steps so the project can be properly evaluated and replicated.
The authors' abstract, as published at the source. Journalism & Mass Communication Quarterly, 2015 · DOI ↗
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Field: General Social Sciences
General Social SciencesSocial Sciences