The Promise and Pitfalls of Big Data and Computational Studies of Politics

Authors

  • Jennifer Earl University of Arizona

DOI:

https://doi.org/10.1285/i20356609v11i2p484

Abstract

For Symposium abstract is not required

Author Biography

Jennifer Earl, University of Arizona

Jennifer Earl is a Professor of Sociology and (by courtesy) Government and Public Policy at the University of Arizona. She is Director Emeritus of the Center for Information Technology and Society and Director Emeritus of the Technology and Society PhD Emphasis, both at University of California, Santa Barbara. Her research focuses on social movements, information technologies, and the sociology of law, with research emphases on Internet activism, social movement repression, and legal change. She is the recipient of a National Science Foundation CAREER Award for research from 2006-2011 on Web activism. She has published widely, including an MIT Press book, co-authored with Katrina Kimport, entitled Digitally Enabled Social Change, which examines how the use of Internet affordances are reshaping the basic dynamics of protest online and was awarded an Honorable Mention for the Communication and Information Technologies Section of the American Sociological Association’s Book Award in 2013.

References

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Published

13-09-2018

How to Cite

Earl, J. (2018). The Promise and Pitfalls of Big Data and Computational Studies of Politics. PARTECIPAZIONE E CONFLITTO, 11(2), 484–496. https://doi.org/10.1285/i20356609v11i2p484

Issue

Vol. 11, No. 2 (2018). Special Issue: From Big Data in Politics to the Politics of Big Data

Section

Symposium

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