Mapping auroral activity with Twitter

Case, Nathan and MacDonald, Elizabeth and Heavner, Matt and Tapia, Andrea and Lalone, Nicolas (2015) Mapping auroral activity with Twitter. Geophysical Research Letters, 42 (10). pp. 3668-3676. ISSN 0094-8276

[img]
Preview
PDF (grl52932)
grl52932.pdf - Published Version

Download (571kB)

Abstract

Twitter is a popular, publicly-accessible, social media service that has proven useful in mapping large-scale events in real-time. In this study, for the first time, the use of Twitter as a measure of auroral activity is investigated. Peaks in the number of aurora-related tweets are found to frequently coincide with geomagnetic disturbances (detection rate of 91%). Additionally, the number of daily aurora-related tweets is found to strongly correlate with several auroral strength proxies (ravg ≈ 0.7). An examination is made of the bias for location and time of day within Twitter data, and a first order correction of these effects is presented. Overall, the results suggest that Twitter can provide both specific details about an individual aurora and accurate real-time indication of when, and even from where, an aurora is visible.

Item Type:
Journal Article
Journal or Publication Title:
Geophysical Research Letters
Additional Information:
Copyright 2015 American Geophysical Union.
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1900
Subjects:
ID Code:
75124
Deposited By:
Deposited On:
10 Aug 2015 15:38
Refereed?:
Yes
Published?:
Published
Last Modified:
02 Jun 2020 02:48