The Information Behavior of US Voters: Seeking procedural information in a fractured environment

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Abstract

Abstract Citizens' ability to participate in elections depends on access to accurate information about when, where, and how to vote. While voters use heuristics to evaluate candidates and policies, these shortcuts are largely ineffective for procedural facts such as registration deadlines, identification requirements, and early voting start dates. We examine procedural information-seeking through three complementary studies. First, a usability audit of fifty state election websites and ten major nonprofit sites documents a fragmented information environment. While some resources provide one-click access to accurate information, others bury crucial details behind complex, multi-step navigation. Second, interviews and participant observations reveal that citizens overestimate their ability to navigate these information resources. Third, an experiment conducted during the 2024 election demonstrates that website design choices directly impact search success, users' ability to location actionable information is stymied by high-friction environments. Together, these results underscore how poorly designed information architectures can hinder participation, ultimately undermining democratic performance.
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Alex Hughes, Michael U. Rivera This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8653527/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Citizens' ability to participate in elections depends on access to accurate information about when, where, and how to vote. While voters use heuristics to evaluate candidates and policies, these shortcuts are largely ineffective for procedural facts such as registration deadlines, identification requirements, and early voting start dates. We examine procedural information-seeking through three complementary studies. First, a usability audit of fifty state election websites and ten major nonprofit sites documents a fragmented information environment. While some resources provide one-click access to accurate information, others bury crucial details behind complex, multi-step navigation. Second, interviews and participant observations reveal that citizens overestimate their ability to navigate these information resources. Third, an experiment conducted during the 2024 election demonstrates that website design choices directly impact search success, users' ability to location actionable information is stymied by high-friction environments. Together, these results underscore how poorly designed information architectures can hinder participation, ultimately undermining democratic performance. Full Text Additional Declarations No competing interests reported. All research participants were 18 years or older and freely gave informed consent to participate in the study. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-8653527","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":579055007,"identity":"950ad4d6-5598-415e-937c-6559906d249a","order_by":0,"name":"D. 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