English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

Promises and pitfalls of using digital traces for demographic research

MPS-Authors

Zagheni,  Emilio
Max Planck Institute for Demographic Research, Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Cesare, N., Lee, H., McCormick, T., Spiro, E., & Zagheni, E. (2018). Promises and pitfalls of using digital traces for demographic research. Demography, 55(5), 1979-1999.


Cite as: https://hdl.handle.net/21.11116/0000-0004-7C6D-8
Abstract
<p>The digital traces we leave online are increasingly fruitful sources of data for social scientists - including those interested in demographic research. The collection and use of digital data also presents numerous statistical, computational, and ethical challenges, motivating the development of new research approaches to address these burgeoning issues. In this article, we argue that researchers with formal training in demography &ndash; who have a history of developing innovative approaches to using challenging data &ndash; are well positioned to contribute to this area of work. We discuss the benefits and challenges of using digital trace data for social and demographic research, and review examples of current demographic literature that creatively utilizes digital trace data to study processes related to fertility, mortality and migration. Focusing on Facebook data for advertisers &ndash;a novel, &#39;digital census&#39; that has largely been untapped by demographers &ndash; we provide illustrative and empirical examples of how demographic researchers can manage issues such as bias and representation when using digital trace data. We conclude by offering our perspective on the road ahead regarding demography and its role in the &#39;data revolution&#39;.</p>