Data ex Machina: Introduction to Big Data

By David M. J. Lazer, J. Radford. 2017

198 citations recorded by the source corpus.

Subfields: Information Systems and Management, Safety Research, Sociology and Political Science

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Information Systems and Management

1. Sarah Brayne
2. Roman Egger
3. Joanne Yu

In Safety Research

1. Sarah Brayne

In Sociology and Political Science

1. Sarah Brayne
2. Jeremy Blackburn
3. Vidushi Marda
4. Shiv Narayan

Citations in the corpus

• Big Data Surveillance: The Case of Policing (2017, methodology): “Drawing on previous definitions (e.g., Laney 2001; Lazer and Radford 2017; Mayer-Schönberger and Cukier 2013), the working definition of big data used in this research is that it is a data environment characterized by four features: it is vast, fast, disparate, and digital.”
• The Pushshift Reddit Dataset (2020, background): “Web data, particularly data from application programming interfaces (APIs), has been an enormous boon for researchers using online social platforms’ databases of user-generated activity and content (Freelon 2014; Golder and Macy 2014; Hampton 2017; Lazer and Radford 2017).”
• A Topic Modeling Comparison Between LDA, NMF, Top2Vec, and BERTopic to Demystify Twitter Posts (2022, background): “With its limitless availability of constantly growing datasets and simultaneous increase in computing power, the era of digital transformation has brought about the potential to alter social science (Lazer and Radford, 2017).”