Resources

Research shows that printed ballots pose challenges for blind voters and low-vision voters, who cannot read them directly.
This is a report of a project examining the legibility of summary ballots printed by ballot marking devices. The goal of the investigation was to to identify aspects of design, layout, or typography that can make a summary-style ballot easier to read and to increase the likelihood that voters detect a mistake or change on their ballot.

In this paper, authors examine the effects of automatic voter registration (AVR) on both registration and turnout. They find that ind it does raise registration rates substantially, that the effect of AVR gradually builds the longer it is in place, and that the different types of AVR have significantly different effects on both registration and turnout.

In this article, authors argue that supported decision making is ideal for people with dynamic cognitive and functional impairments that place them at the margins of autonomy. This research supports the idea that people with cognitive
disabilities can make important decisions such as voting while relying on trusted assistors in executing those decisions.

This report examines election-related hurdles that hinder or prevent people with disabilities from participating fully in U.S. elections, including during the 2020 election cycle. It offers recommendations that policymakers can adopt to improve election accessibility for voters with disabilities.

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

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.

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 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 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 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 analyzes registrants in Wisconsin who were identified as potential movers and did not respond to a subsequent postcard. At least 4% of these registrants cast a ballot at their address of registration, with minority registrants twice as likely as white registrants to do so.

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