Cultural Analytics by Manovich, Lev -- Read -- Imperial Library of Trantor

Index

Cover Contents Acknowledgments Illustrations Introduction: How to See One Billion Images

Looking at Culture with Computers Cultural Analytics: Five Ideas Cultural Analytics: Twelve Research Challenges What Cultural Analytics Is Not Cultural Analytics, Media Theory, and Software Studies Using This Book in Classes

I Studying Culture at Scale

1 From New Media to More Media

“From New Media to More Media” (2008) Observing Global Culture in Real Time Cultural Analytics in Historical Context

2 The Science of Culture?

3 Culture Industry and Media Analytics

A New Stage in Media Technology History Media Analytics Examples The Two Parts of Media Analytics Automation: Media Analysis Automation: Media Actions Media Analytics and Cultural Analytics

II Representing Culture as Data

4 Types of Cultural Data

Media: Social Networks and Professional Networks Behavior: Digital and Physical Traces Representing Interaction Events, Places, Organizations

5 Cultural Sampling

The Islands and the Ocean Museums versus Libraries Creating Representative Samples How to See the Invisible The Limitations of Random Samples Statistics as Reduction Why We Need Big Data to Study Cultures Is Sampling Necessary?

6 Metadata and Features

From a World to a Dataset Metadata and Features Data = Objects + Features Statistics in the Nineteenth and Twentieth Centuries: From a Single to Multiple Variables Interpretation, Explanation, Automation The Semantic Gap

7 Language, Categories, and Senses

Data Types Measurement Scales Language and Senses Senses and Numbers Measuring Perceptions Top-Down and Bottom-Up Analysis Prescriptive Aesthetics and Modernisms Analysis Examples: 776 van Gogh Paintings and One Million Manga Pages More Examples: One Million Artworks and 42,571 Movies The Society of Categories

III Exploring Cultural Data

8 Information Visualization

What Is Visualization? Reduction and Space Visualization without Reduction Artistic Media Visualization Cultural Time Series Beyond Information Visualization

9 Exploratory Media Analysis

Against Search The Interface Image Processing and Computer Vision Using Image Features for Exploratory Media Analysis Seeing versus Analyzing

10 Methods of Media Visualization

Image Montage Sampling versus Summarization Temporal Sampling Spatial Sampling Remapping

Conclusion: Can We Think without Categories?

Do We Want to “Explain” Culture? Is the Goal of Cultural Analytics to Study Patterns? (Yes and No) How to Think without Categories Learning to See at a New Scale

Notes Index