TL;DR: The Content Analysis Guidebook provides an accessible core text for upper-level undergraduates and graduate students across the social sciences that unravels the complicated aspects of content analysis.
Abstract: List of Boxes List of Tables and Figures Foreword Acknowledgments 1. Defining Content Analysis Is Content Analysis "Easy"? Is It Something That Anyone Can Do? A Six-Part Definition of Content Analysis 2. Milestones in the History of Content Analysis The Growing Popularity of Content Analysis Milestones of Content Analysis Research 3. Beyond Description: An Integrative Model of Content Analysis The Language of the Scientific Method How Content Analysis Is Done: Flowchart for the Typical Process of Content-Analysis Research Approaches to Content Analysis The Integrative Model of Content Analysis Evaluation With the Integrative Model of Content Analysis 4. Message Units and Sampling Units Defining the Population Archives Medium Management Sampling Sample Size 5. Variables and Predictions Identifying Critical Variables Hypotheses, Predictions, and Research Questions 6. Measurement Techniques Defining Measurement Validity, Reliability, Accuracy, and Precision Types of Validity Assessment Operationalization Computer Coding Selection of a Computer Text Content Analysis Program Human Coding Index Construction in Content Analysis 7. Reliability Intercoder Reliability Standards and Practices Issues in the Assessment of Reliability Pilot and Final Reliabilities Intercoder Reliability Coefficients: Issues and Comparisons Calculating Intercoder Reliability Coefficients Treatment of Variables That Do Not Achieve an Acceptable Level of Reliability The Use of Multiple Coders Advanced and Specialty Issues in Reliatbility Coefficient Selection 8. Results and Reporting Data Handling and Transformations Hypothesis Tesing Selecting the Appropriate Statistical Tests Frequencies Co-Occurences and In-Context Occurrences Time Lines Bivariate Relationships Multivariate Relationships 9. Contexts Psychometric Applications of Content Analysis Open-Ended Written and Pictorial Responses Linguistics and Semantic Networks Stylometrics and Computer Literary Analysis Interaction Analysis Other Interpersonal Behaviors Violence in the Media Gender Roles Minority Portrayals Advertising News Political Communication Web Analyses Other Applied Contexts Commercial and Other Client-Based Applications of Content Analysis Future Directions Resource 1: Message Archives - P.D. Skalski General Collections Film, Television and Radio Archives Literary and General Corpora Other Archives Resource 2: Using NEXIS for Text Acquisition for Content Analysis Resource 3: Computer Content Analysis Software - P.D. Skalski Part I. Quantitative Computer Text Analysis Programs Part II. VBPro How-To Guide and Executional Flowchart Resource 4: An Introduction to PRAM--A Program for Reliability Assessment With Multiple Coders Resource 5: The Content Analysis Guidebook Online Content Analysis Resources Bibliographies Message Archives and Corpora Reliability Human Coding Sample Materials Computer Content Analysis References Author Index Subject Index About the Authors
TL;DR: The ways in which news factors affect participation levels and interactivity in a news item’s comments section are explored and the theoretical, normative, and practical implications of those findings are discussed.
Abstract: Posting comments on the news is one of the most popular forms of user participation in online newspapers, and there is great potential for public discourse that is associated with this form of user communication. However, this potential arises only when several users participate in commenting and when their communication becomes interactive. Based on an adaption of Galtung and Ruge’s theory of newsworthiness, we hypothesized that a news article’s news factors affect both participation levels and interactivity in a news item’s comments section. The data from an online content analysis of political news are consistent with the hypotheses. This article explores the ways in which news factors affect participation levels and interactivity, and it discusses the theoretical, normative, and practical implications of those findings.
TL;DR: The findings imply that in addition to conventional customer survey, user generated online content analysis should be effective way of catching customer-oriented design elements; they provide complementary effects for Kansei design.
TL;DR: In this paper, the authors explored US brands' web site standardisation in terms of the extent of standardisation and the content applied across European markets, and found that brands sold by US firms adopted a localisation strategy for web sites created for European markets by tailoring the specific content to each market, but maintained a minimum level of uniformity f...
Abstract: Purpose – This study explores US brands' web site standardisation in terms of the extent of standardisation and the content applied across European markets. The conceptual framework was created on the basis of four basic functions of web site content, i.e. transaction, communication, relationship, and interactivity.Design/methodology/approach – In total, 206 web sites created for the UK, France, Germany, and Spain were examined by online content analysis techniques, in terms of the features of the web site in each host country, and the similarity between the home‐country (USA) and host‐country web sites. The unit of analysis was determined to be the first page or homepage of the web sites, excluding analysis of hyperlinks. Multivariate analyses were applied to test the principal thesis of the study.Findings – The brands sold by US firms adopted a localisation strategy for web sites created for European markets by tailoring the specific content to each market, but maintained a minimum level of uniformity f...
TL;DR: Using survey data, those who report the Internet as their primary source of science and technology news are diverse in age, more knowledgeable about science and nanotechnology, highly educated, male, and more diverse racially than users of other media.
Abstract: The shift toward online communication in all realms, from print newspapers to broadcast television, has implications for how the general public consumes information about nanotechnology. The goal of this study is threefold: to investigate who is using online sources for information and news about science and nanotechnology, to examine what the general public is searching for online with regards to nanotechnology, and to analyze what they find in online content of nanotechnology. Using survey data, we find those who report the Internet as their primary source of science and technology news are diverse in age, more knowledgeable about science and nanotechnology, highly educated, male, and more diverse racially than users of other media. In a comparison of demographic data on actual visits by online users to general news and science Web sites, science sites attracted more male, non-white users from the Western region of the United States than news sites did. News sites, on the other hand, attracted those with a slightly higher level of education. Our analysis of published estimates of keyword searches on nanotechnology reveals people are turning to the Internet to search for keyword searches related to the future, health, and applications of nanotechnology. A content analysis of online content reveals health content dominates overall. Comparisons of content in different types of sites—blogs, government, and general sites—are conducted.