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Analyzing Media Messages: Using Quantitative Content Analysis in Research
TLDR
This paper defines Content Analysis as a Social Science Tool as a social science tool and designs a content analysis system based on data collected in this study.Abstract:
Contents: Preface. Introduction. Defining Content Analysis as a Social Science Tool. Designing a Content Analysis. Measurement. Sampling. Reliability. Validity. Data Analysis. Computers.read more
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Giving Content to Investor Sentiment: The Role of Media in the Stock Market
TL;DR: The authors quantitatively measure the interactions between the media and the stock market using daily content from a popular Wall Street Journal column and find that high media pessimism predicts downward pressure on market prices followed by a reversion to fundamentals.
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Content Analysis in Mass Communication: Assessment and Reporting of Intercoder Reliability
TL;DR: A content analysis of 200 studies utilizing content analysis published in the communication literature between 1994 and 1998 is used to characterize practices in the field and demonstrate that mass communication researchers often fail to assess (or at least report) intercoder reliability and often rely on percent agreement, an overly liberal index.
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Critical thinking, cognitive presence, and computer conferencing in distance education
TL;DR: In this article, a practical approach to assess the nature and quality of critical discourse and thinking in a computer conference is described, where a model of a critical community of inquiry frames the research.
Assessing Social Presence In Asynchronous Text-based Computer Conferencing
TL;DR: Garrison, Anderson, and Archer as mentioned in this paper developed a community of inquiry model that synthesizes pedagogical principles with the inherent instructional and access benefits of computer conferencing, and defined social presence as the ability of learners to project themselves socially and affectively into a community.
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More than Words: Quantifying Language to Measure Firms' Fundamentals
TL;DR: This paper examined whether a simple quantitative measure of language can be used to predict individual firms' accounting earnings and stock returns and found that the fraction of negative words in firm-specific news stories predicts low firm earnings.