Resources

This paper explores how voting experiences and fraud perceptions influence voter confidence, revealing that negative voting experiences, particularly long wait times, are linked to decreased confidence and increased perceptions of fraud.

This report reviews multiple topics related to conducting the 2020 general election, including meeting the challenge of voting in person during the COVIS-19 pandemic.

This book examines the dynamics behind shifts in voter registration rates across the states.

In this paper, authors analyze how transitioning to vote centers impacts voters' experiences, noting that inadequate implementation may result in longer waits and increased voter dissatisfaction.

This paper examines how changes in Election Day polling place locations affect voter turnout. The authors analyze voter behavior in three presidential elections in North Carolina (2008 - 2016), finding that these changes reduce Election Day voting on average, but that the reduction is offset by substitution into early voting.

In this paper, authors use snapshots of voter registration files (VRF) over time and machine learning models to test the effectiveness of unsupervised anomaly detection methods in detecting VRF modifications. They find that statistical models comparing administrative districts within a short time span and non-negative matrix factorization are most effective for surfacing anomalous events for review.

In this paper, authors explore how ballot length affects specific types of voting errors, including human-machine interaction errors and voter ballot-marking errors.

In this paper, authors match a high-quality, random sample of the U.S. population to multiple lists revealing that at least 11% of the adult citizenry is not on a voter list. An additional 12% is mislisted (i.e., not living at their recorded address).

In this paper, Pettigrew demonstrate that for every additional hour a voter waits in line, their probability of voting in the subsequent election drops by one percentage point. He finds that negative experiences carry over to future elections disproportionately for underrepresented voters.

In this paper, authors find that non-white voters are more likely to lack acceptable photo identification, and that those voting without ID are disproportionately Latino and Black.

This paper proposes a two-part framework for evaluating ballot-marking device verification, finding that while most voters can detect errors when they check their ballot, most do not check their ballot in the first place.

In this article, using data from Orange County, California, the researchers develop two methods for evaluating the quality of voter registration data as it changes over time: (a) generating audit data by repeated record linkage across periodic snapshots of a given database and monitoring it for sudden anomalous changes and (b) identifying duplicates via an efficient, automated duplicate detection, and tracking new duplicates and deduplication efforts over time.