Voter Trust Survey on Election Integrity and Cyber Threats

A two-wave survey experiment fielded during the 2024 election investigates how cyber threat narratives erode trust in electoral integrity. The study tests a targeted intervention using a pre-registered design and identifies an inoculation effect. Data was collected by Ryan Shandler for the Political Behavior Dataverse.

Use Cases

• Analyze the relationship between exposure to cyberattack media coverage and the 'perceptions_of_electoral_integrity' variable.
• Test the effect of the 'inoculation_video' intervention on 'trust_levels' after subsequent exposure to threatening content.
• Compare changes in 'trust_in_voting_systems' across different participant groups or party affiliations.
• Model the generalization effect of digital insecurity by correlating trust metrics from non-election-related cyberattack narratives.

Strengths

• Pre-registered experimental design ensures methodological rigor.
• Two-wave panel structure allows for longitudinal analysis of trust changes.
• Data collection timed with the 2024 election provides real-world context.

Limitations

• Specific sample size, demographic breakdowns, and geographic coverage are unknown.
• Column names and full variable definitions are not provided, limiting reproducibility.
• The dataset's focus on a single election cycle may limit generalizability.

Provenance

Source

Political Behavior Dataverse.

Collection Method

Pre-registered, two-wave survey experiment.

Time Range

Fielded during the 2024 election.

Freshness

Last updated in April 2026.

Geography

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