Big data and the historical sciences
A critique
Bibliographic Data
| ID | 8943995 |
|---|---|
| Authors | Malte C Ebach (0000-0002-9594-9010, Environmental Earth Sciences, corresponding author), Michaelis S Michael (0000-0001-5036-883X, UNSW Sydney), Wendy S Shaw (0000-0003-1520-7250, Environmental Earth Sciences), James Goff (0000-0001-9265-8667, Environmental Earth Sciences), Daniel J Murphy (0000-0001-7759-6576), Slade Matthews (0000-0002-1652-543X, The University of Sydney) |
| Year | 2016 |
| Volume | 71 |
| Pages | 1-4 |
| Publication date | 2016-02-28 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Geoforum (JOURNAL) |
| Journal identifiers | ISSN: 0016-7185 • E-ISSN: 1872-9398 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.geoforum.2016.02.020 |
| OpenAlex | W2285811505 |
| Language | EN |
| Citations received | 3 |
| References cited | 26 |
Big data · Data mining · Data science · Engineering ethics · Epistemology · Political science · Regional science · Social science · Sociology · Computational and Text Analysis Methods · Computer Science · Data Analysis with R · Data-Driven Disease Surveillance · Engineering · Philosophy
Detecting influenza epidemics using search engine query data
The Parable of Google Flu
The Future of Data Analysis
Exposure to ideologically diverse news and opinion on Facebook
Big data
Déjà vu all over again
Big data, little history
Big data, smart cities and city planning
Critical Questions for Big Data
Big Data, new epistemologies and paradigm shifts
| Unique citing works | 3 |
|---|---|
| Citations per year | 0,3 |
| Citation span | 2016 - 2020 (5) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 3 |