Digital information contexts : theoretical approaches to understanding digital information

Summary: This book is an introduction to critical and theoretical perspectives on digital information.

It outlines the origins of information management in nineteenth-century humanism, the adoption of scientific perspectives in the documentation and information science movements, and modern theoretical frameworks for understanding the social, cultural and political place of digital information.

Digital Information Contexts is the first book aimed at information professionals to give a detailed outline of important perspectives on information and meaning, including post-structuralism and post-modernism.

It explores parallels between information management and media, communication and cultural studies.

Each chapter includes recommended further reading to guide the reader to further information.

It is a comprehensive introduction to theoretical frameworks for understanding and studying digital information.

Key Features: 1. General theoretical introduction to digital information management 2.

Explores the application of critical theory, communications and media theory to understanding digital information 3.Historical and critical perspective The Author: Luke Tredinnick is a Senior Lecturer in Information Management at London Metropolitan University and Course Director for the MSc on Digital Information Management.

He teaches on a wide range of topics around the digital information area, including digital libraries, intranets and extranets, knowledge applications and technologies, cyberculture, and the social, political and theoretical aspects of digital information.

He is the author of Why Intranets Fail (and How to Fix Them), also published by Chandos Publishing.

Readership: Information management academics and students; information management professionals; allied academic fields, such as cultural studies, communications studies and media studies.

Contents: The meaning of information Librarianship and print culture Digital information, science and the social sciences Digital information and computer science Digital information, language and representation Digital information and semiotics Digital information and post-structuralism Digital information and post-modernism Digital information and complexity Understanding digital information