Full Citation
Title: Twitter Analysis
Citation Type: Book, Section
Publication Year: 2016
ISBN: 978-84872-581-2
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Abstract: The advent of big data presents both opportunities and challenges for studying behavior and psychological processes. There are three features often used to characterize big data: volume, velocity, and variety (Laney, 2001). That is, big data provide an abundance of information, at a faster pace, and about more concepts than previously possible. However, these characteristics also mean that previous data analytic methods might become less feasible. Instead, methods are needed that address the specific defining features of big data. In this chapter, we offer an example of how massive information allows us to reveal new phenomena and discover how big data can be used to measure popular psychological constructs (e.g., job satisfaction) at the city level of analysis, which can then be used to predict related city-level concepts, as well as offer insight into new multi-level and macro-level hypotheses.
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Authors: Hernandez, Ivan; Newman, Daniel; Jeon, Gahyun
Editors: Scott Tonidandel, Eden King Jose Cortina
Pages: 64-429
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Publisher: Taylor & Francis
Publisher Location: New York, NY
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Data Collections: IPUMS USA
Topics: Other
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