Resources

This paper shows how reporting data at the ballot-card level can reduce risk limiting audits sample sizes and improve audit efficiency.

This report discusses ballot-accounting audits as a complementary check to tabulation audits, emphasizing reconciliation and chain of custody.

This report provides a national overview of post-election audits, audit types, history, and state practices across the United States.

Employing national surveys from 2012, 2016, 2018, and 2020, this paper that beliefs in election fraud are common and stable across time, and only occasionally relate to partisanship.

This evaluation report examines philanthropy & trust-building in relation to the entry’s stated focus on election security; confidence; field-building. It is relevant to the dataset because it connects election rules, information environments, or administrative performance to public confidence and perceived legitimacy.

This research finds that a majority of Trump voters in the survey sample falsely believed that election fraud was widespread, and that Trump won the election. It also finds that Trump conceding or losing his legal challenges would likely lead a majority of Trump voters to accept Biden’s victory as legitimate, although 40% said they would continue to view Biden as illegitimate regardless.

This survey report focuses on election misinformation, fraud narratives, or public misperceptions and their effects on confidence in U.S. elections. It is relevant because beliefs about fraud and exposure to misleading claims are central mechanisms through which confidence in election outcomes rises or falls. For this dataset, it helps explain why the 2020 election became a turning point in public debates over fraud, mail voting, certification, and legitimacy.

In this report, Morrell guides jurisdictions through planning and conducting risk limiting audits pilots, including stakeholder preparation, logistics, and post-pilot evaluation.

There is increasing evidence that voters’ confidence in the outcome of elections, and more specifically, that their vote was counted accurately, is dominated by the whether the voter supported the winning or losing candidate in an election. Authors ask whether this winner (loser) effect is consistent over time and parties. Additionally, they test whether the strength of this effect on voter confidence varies across electoral level (i.e., confidence in a county, state, and nations vote counting).

Utilizing the 2008–2016 Survey on the Performance of American Elections (SPAE), the analysis finds that wait times have a negative effect on confidence as do challenges with the voting equipment and voter registration.

This post-election survey reports on how Americans cast ballots in 2020 and how confident they were that votes were counted accurately.

This Berkman Klein Center work analyzes media ecosystems and disinformation narratives around mail voting, voter fraud, and public discourse in the 2020 election. It is relevant because beliefs about fraud and exposure to misleading claims are central mechanisms through which confidence in election outcomes rises or falls. For this dataset, it helps explain why the 2020 election became a turning point in public debates over fraud, mail voting, certification, and legitimacy.