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Narrative Persuasion

Authors: Barron, Kai; Fries, Tilman;

Narrative Persuasion

Abstract

We study how one person may shape the way another person interprets objective information. They do this by proposing a sense-making explanation (or narrative). Using a theory-driven experiment, we investigate the mechanics of such narrative persuasion. Our results reveal several insights. First, narratives are persuasive: We find that they systematically shift beliefs. Second, narrative fit (coherence with the facts) is a key determinant of persuasiveness. Third, this fit-heuristic is anticipated by narrative-senders, who systematically tailor their narratives to the facts. Fourth, the features of a competing narrative predictably influence both narrative construction and adoption.

Berlin School of Economics Discussion Papers; 39

Country
Germany
Keywords

experiment, ddc:330, financial advice, behavioural finance, behavioral finance, mental models, D83, narratives, explanations, C90, beliefs, Narratives, conflicts of interest, G50, G40

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    10
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Top 10%
Average
Top 10%
Green