Sociological Theory in the Digital Age

Ignatow, Gabe

Reference

Routledge

What is the role of sociological theory in the information age? What kinds of theories are best suited to analyzing the social uses of digital technologies, and for using digital technologies in new ways to study the social? This book contributes to several ongoing conversations on how the social sciences can best adapt to contemporary information technologies and information societies. Focusing on practical or 'usable theory,' it surveys the challenges and opportunities of conducting social science in the information age, as well as the theoretical solutions that sociologists have developed and applied over the last two decades. With specific attention to three theoretical approaches in digital social research--critical theory, forensic theory and Bourdieusian theory--the author provides an overview of the history and main tenets of each, surveys its use in sociological research, and evaluates its successes and limitations. Taking a long-term view of theoretical development in evaluating schools of thought and considering their productivity in analyzing and using contemporary digital communication technologies, this book thus treats theory as a tool for empirical research and the development of theory as inseparable from research practice. As such, it will appeal to scholars of sociology and social theory with interests in research methods, the development of theory and digital technologies.

Sociological Theory In The Digital Age

Ignatow, Gabe, 1975

New York : Routledge, 2020

Online communities generate massive volumes of natural language data and the social sciences continue to learn how to best make use of this new information and the technology available for analyzing it. Text Mining brings together a broad

Text Mining: A Guidebook for the Social Sciences

Computers & Technology

Mihalcea, Rada F.

Computer Science

Sage Publications, Inc.

Students in social science courses communicate, socialize, shop, learn, and work online. When they are asked to collect data for course projects they are often drawn to social media platforms and other online sources of textual data. There are many software packages and programming languages available to help students collect data online, and there are many texts designed to help with different forms of online research, from surveys to ethnographic interviews. But there is no textbook available that teaches students how to construct a viable research project based on online sources of textual data such as newspaper archives, site user comment archives, digitized historical documents, or social media user comment archives. Gabe Ignatow and Rada F. Mihalcea′s new text An Introduction to Text Mining will be a starting point for undergraduates and first-year graduate students interested in collecting and analyzing textual data from online sources, and will cover the most critical issues that students must take into consideration at all stages of their research projects, including: ethical and philosophical issues; issues related to research design; web scraping and crawling; strategic data selection; data sampling; use of specific text analysis methods; and report writing.

An Introduction to Text Mining: Research Design, Data Collection, and Analysis

Politics & Social Sciences

Social Sciences

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