Resources

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.

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.

This research summary addresses how mail voting, absentee-ballot procedures, or claims about mail-ballot fraud affect voter confidence and perceived legitimacy. 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.

This report / guidance examines election results communication in relation to the entry’s stated focus on election results; delays; public communication. It is relevant because trusted, timely, and nonpartisan communication is one of the main tools election officials and civic groups use to counter distrust.

This report finds that the disinformation campaign surrounding the risk of voter fraud associated with mail-in ballots follows an elite-driven, mass media model.

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).

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.

This explainer reviews public attitudes toward voting machines, ballot-marking devices, paper records, and related election technologies and describes how confidence depends not only on actual system security but also on whether voters understand the safeguards protecting registration, voting, and counting.

This post-election survey reports on how Americans cast ballots in 2018 and how confident they were that votes were counted accurately.

This post-election survey reports on how Americans cast ballots in 2016 and how confident they were that votes were counted accurately.