Resources

This post-election survey reports on how Americans cast ballots in 2022 and how confident they were that votes were counted accurately.

This research assesses whether messages reinforcing election integrity increased participation in the 2020 election through a large-scale voter mobilization field experiment. California registrants were mailed a letter that described either existing safeguards to prevent vote-by-mail fraud or the ability to track one’s ballot and ensure that it was counted. Analysis of state voter records reveals that neither message increased turnout over a simple election reminder or even no contact.

This research finds even in the absence of elite claims of vote fraud, authors see strong and immediate shifts in mass views. Once the results became clear, those who supported the losing side became significantly less likely to trust that votes were counted correctly or to be satisfied with the election process, while trust and support for the process rose from pre-to post-election for voters on the winning side.

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.

Report offering solutions on how public information campaigns by state election officials could mitigate polarized trust in election integrity.

This academic article studies how messages from political elites influence public confidence in elections and acceptance of democratic norms.

This MIT Election Data + Science Lab analysis explains the 2020 “blue shift,” where later-counted ballots disproportionately favored Democrats, and why that pattern mattered for public interpretation of results.

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.