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Facebook Data Reveals Unexpected Mayoral Vote Patterns in U.S. Elections
Insights from the Field
ideology
vote choice
Facebook surveys
U.S.
Voting and Elections
Pol. Behav.
18 Stata files
13 datasets
Dataverse
Ideology and Vote Choice in U.S. Mayoral Elections: Evidence from Facebook Surveys was authored by Michael Sances. It was published by Springer in Pol. Behav. in 2018.

The relationship between ideology and vote choice in mayoral elections is often assumed to follow predictable patterns. However, this study uses novel data collected via Facebook surveys to examine how voters' ideological leanings translate into support for specific candidates.

Data & Methods: Leveraging a large-scale dataset gathered through targeted Facebook advertisements across multiple election cycles in the United States. The analysis employs quantitative methods including regression models and comparative assessments of survey responses.

Key Findings: Voter ideology significantly influences their choice for mayor, but the patterns are more nuanced than previously understood by political scientists. Ideological alignment with candidates appears to vary substantially depending on geographic context within states. Additionally, social media platforms like Facebook capture these preferences effectively.

Why It Matters: This research demonstrates how digital tools can enhance our understanding of local politics and the mechanisms behind voter decision-making. It suggests that mayoral elections respond differently to ideological shifts across regions within states, offering new insights for political campaigns and policy research.

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Political Behavior
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