Resources

This research finds that explicit cues about rigged voting machines increase belief in such theories, especially when the cues target the opposing political party. Explicit cues also decrease confidence in elections regardless of the targeted party, but they have no effect on satisfaction with democracy or support for election security funding.

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 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.

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.

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.