Online research methods are popular, dynamic and fast-changing. Following on from the great success of the first edition, published in 2008, The SAGE Handbook of Online Research Methods, Second Edition offers both updates of existing subject areas and new chapters covering more recent developments, such as social media, big data, data visualization and CAQDAS. Bringing together the leading names in both qualitative and quantitative online research, this new edition is organised into nine sections: 1. Online Research Methods 2. Designing Online Research 3. Online Data Capture and Data Collection 4. The Online Survey 5. Digital Quantitative Analysis 6. Digital Text Analysis 7. Virtual Ethnography 8. Online Secondary Analysis: Resources and Methods 9. The Future of Online Social Research The SAGE Handbook of Online Research Methods, Second Edition is an essential resource for anyone interested in the contemporary practice of computer-mediated research and scholarship.

Chapter 21: Artificial Intelligence/Expert Systems and Online Research

Artificial Intelligence/Expert Systems and Online Research

ARTIFICIAL INTELLIGENCE/EXPERT SYSTEMS AND ONLINE RESEARCH
Edward Brent

The size and rapid growth of the Internet demands new strategies for handling the deluge of available data. Social researchers can no longer think just in terms of data sets – fixed collections of information gathered as part of a single study that together represent the information available relevant to some topic at some point in time. Today, we are inundated with digitized data flows. A digitized data flow is an ongoing influx of new information available in digitized format, often from multiple sources, typically large in volume, and likely to continue at least for the foreseeable future. Examples of such data flows include news articles, data input ...

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