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Series:   Elements in Campaigns and Elections

Securing American Elections

How Data-Driven Election Monitoring Can Improve Our Democracy

Published online by Cambridge University Press:  05 November 2020

R. Michael Alvarez ,
Nicholas Adams-Cohen ,
Seo-young Silvia Kim  and
Yimeng Li
R. Michael Alvarez
Affiliation:
California Institute of Technology
Nicholas Adams-Cohen
Affiliation:
Stanford University, California
Seo-young Silvia Kim
Affiliation:
California Institute of Technology
Yimeng Li
Affiliation:
California Institute of Technology

Summary

The integrity of democratic elections, both in the United States and abroad, is an important problem. In this Element, we present a data-driven approach that evaluates the performance of the administration of a democratic election, before, during, and after Election Day. We show that this data-driven method can help to improve confidence in the integrity of American elections.
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Keywords

election securityelection auditselection fraudvoter registrationsocial mediasurvey methodologyvoter confidence
Type
Element
Information
Series: Elements in Campaigns and Elections
Online ISBN: 9781108887359
Publisher: Cambridge University Press
Print publication: 26 November 2020

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