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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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Survey-Experiment data for "Facts, alternative facts, and fact checking in times of post-truth politics" and the replication code

Authors: OscarBarrera; Guriev, Sergei; Henry, Emeric; Zhuravskaya, Ekaterina;

Survey-Experiment data for "Facts, alternative facts, and fact checking in times of post-truth politics" and the replication code

Abstract

How effective is fact-checking in countervailing “alternative facts,” i.e., misleading statements by politicians? In a randomized online experiment during the 2017 French presidential election campaign, we subjected subgroups of 2480 French voters to alternative facts by the extreme-right candidate, Marine Le Pen, and/or corresponding facts about the European refugee crisis from official sources. This is the dataset from this experiment. We also include the replication code for the article: Barrera, Oscar, Sergei Guriev, Emeric Henry, and Ekaterina Zhuravskaya. 2020. "Facts, alternative facts, and fact checking in times of post-truth politics." Journal of Public Economics, 182: 104123. DOI: https://doi.org/10.1016/j.jpubeco.2019.104123

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Keywords

Experiment, Fake news, Alternative Facts, Fact checking, Salience

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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!
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