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Online content analysis : ウィキペディア英語版
Online content analysis

Online content analysis or online textual analysis refers to a collection of research techniques that social scientists use to test hypothesis about the content of discourses and Internet-based messages. Online content analysis are types of content analysis methods that have been created for, and are applied to, the analysis of Internet-based communication.
== Content analysis ==

Content and textual analysis consist in labeling units of texts (i.e. sentences, quasi-sentences, paragraphs, documents, web pages, etc.) in order to build quantitative measures for scientific inference. According to Berelson (1952),〔McMillan, S. J. (2000). The microscope and the moving target: The challenge of applying content analysis to the World Wide Web. Journalism and Mass Communication Quarterly, 77(1), 80-98.〕 textual analysis is a “systematic technique for analyzing message content and message handling.”
Social scientists have used this technique to investigate research questions related to: mass media,〔Krippendorff, K. (1980). Content analysis: An introduction to its methodology. Beverly Hills, CA: Sage.〕 media effects,〔Riffe, D., Lacy, S., & F. Fico(1998). Analyzing media messages. Using quantitative content analysis in research. Mahwah, New Jersey, London: Lawrence Erlbaum.〕 and agenda setting.〔Baumgartner, Frank, and Bryan Jones. (1993). Agendas and Instability in American Politics. Chicago: University of Chicago Press.〕 Although there are multiple way of labeling and analyzing texts, McMillan (2000) 〔 suggests that there are 5 main pillars across different variants:
# The goal of using text analysis techniques is to help solving specific research puzzles and questions.
# The researcher selects a sample of texts that will help address the research questions.
# The researcher defines a set of categories (labels) that will use to classify the different text units and to test the argument and hypotheses.
# A single or multiple coders perform the labeling and the researchers report the validity of the method (inter-coder reliability).
# Researchers proceed with the analysis and present how the data rejects or not the null hypotheses.

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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