ABSTRACT

As machine-readable data comes to play an increasingly important role in everyday life, researchers find themselves with rich resources for studying society. The novel methods and tools needed to work with such data require not only new knowledge and skills, but also a new way of thinking about best research practices. This book critically reflects on the role and usefulness of big data, challenging overly optimistic expectations about what such information can reveal, introducing practices and methods for its analysis and visualisation, and raising important political and ethical questions regarding its collection, handling, and presentation.

chapter |10 pages

Introduction

Title
New Brave World
Size: 0.24 MB

part Section 1|84 pages

Studying Culture through Data

Title

chapter |13 pages

Humanistic Data Research

Title
An Encounter between Epistemic Traditions
Size: 0.30 MB
Size: 0.35 MB
Size: 0.31 MB

chapter |5 pages

Case Study

Title
On Broadway
Size: 1.93 MB

chapter |20 pages

Foundations of Digital Methods

Title
Query Design
Size: 2.41 MB

chapter |12 pages

Case Study

Title
Webs and Streams – Mapping Issue Networks Using Hyperlinks, Hashtags and (Potentially) Embedded Content
Size: 1.20 MB

part Section 2|74 pages

Data Practices in Digital Data Analysis

Title

chapter |16 pages

Digital Methods

Title
From Challenges to Bildung
Size: 0.51 MB
Size: 0.28 MB

chapter |8 pages

Unknowing Algorithms

Title
On Transparency of Unopenable Black Boxes
Size: 0.19 MB

chapter |8 pages

Social Data APIs

Title
Origin, Types, Issues
Size: 0.19 MB

chapter |15 pages

How to Tell Stories with Networks

Title
Exploring the Narrative Affordances of Graphs with the Iliad
Size: 2.20 MB
Size: 0.23 MB

part Section 3|51 pages

Research Ethics

Title

chapter |18 pages

Get Your Hands Dirty

Title
Emerging Data Practices as Challenge for Research Integrity
Size: 1.21 MB

chapter |9 pages

Research Ethics in Context

Title
Decision-Making in Digital Research
Size: 0.53 MB

chapter |21 pages

Datafication & Discrimination

Title
Size: 1.08 MB

part Section 4|1 pages

Key Ideas in Big Data Research

Title

chapter |5 pages

The Myth of Big Data

Title
Size: 0.15 MB

chapter |4 pages

Data Point Critique

Title
Size: 0.13 MB
Size: 0.13 MB

chapter |6 pages

The Need for a Dialogue with Technology

Title
Size: 0.16 MB