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Replication Data for: When and Why Are Campaigns' Persuasive Effects Small? Evidence from the 2020 US Presidential Election

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title Replication Data for: When and Why Are Campaigns' Persuasive Effects Small? Evidence from the 2020 US Presidential Election
 
Identifier https://doi.org/10.7910/DVN/LLPKNG
 
Creator Broockman, David
Kalla, Joshua
 
Publisher Harvard Dataverse
 
Description Why do political campaigns so often fail to persuade voters, and what does this say about voter decision-making? Some interpret the difficulty of persuading voters as evidence that voters remain loyal to their parties even when confronted with new information. However, an informational (quasi-Bayesian) mechanism may also contribute. We test empirical implications of these alternatives with four survey experiments (total n=113,742) conducted during the 2020 Presidential election that exposed individuals to 291 messages. Our results support the quasi-Bayesian interpretation: we show that voters are more persuadable with information about candidates they know less about; that persuasive messages change both candidate evaluations and vote choices, and induce partisan defection; and that messages with more informational content are more persuasive. These results suggest voters reacting to information in a manner consistent with Bayesian updating, and not only partisan loyalty, can help explain variation in and the small size of campaign effects.
 
Subject Social Sciences
Campaign persuasion
Bayesian reasoning
 
Contributor Broockman, David