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Ethan Porter

Researcher at George Washington University

Publications -  43
Citations -  1634

Ethan Porter is an academic researcher from George Washington University. The author has contributed to research in topics: Misinformation & Politics. The author has an hindex of 14, co-authored 35 publications receiving 989 citations.

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The Elusive Backfire Effect: Mass Attitudes' Steadfast Factual Adherence

TL;DR: The authors found no evidence of factual backfire in questions about whether WMD were found in Iraq in 2003, and no evidence that presenting factual information about the absence of Weapons of Mass Destruction in Iraq made people more convinced that such weapons had been found.
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The Elusive Backfire Effect: Mass Attitudes’ Steadfast Factual Adherence

TL;DR: The authors found no corrections capable of triggering backfire, despite testing precisely the kinds of polarized issues where backfire should be expected Evidence of factual backfire is far more tenuous than prior research suggests by and large, citizens heed factual information, even when such information challenges their ideological commitments.
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Taking Fact-Checks Literally But Not Seriously? The Effects of Journalistic Fact-Checking on Factual Beliefs and Candidate Favorability

TL;DR: This paper found that exposure to realistic journalistic fact-checks of claims made by Donald Trump during his convention speech and a general election debate improved the accuracy of respondents' factual beliefs, even among his supporters, but had no measurable effect on attitudes toward Trump.
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Measuring the predictability of life outcomes with a scientific mass collaboration.

Matthew J. Salganik, +114 more
TL;DR: Practical limits to the predictability of life outcomes in some settings are suggested and the value of mass collaborations in the social sciences is illustrated.
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The wisdom of partisan crowds.

TL;DR: This work conducted two web-based experiments in which individuals answered factual questions known to elicit partisan bias before and after observing the estimates of peers in a politically homogeneous social network to find that the wisdom of crowds is robust to partisan bias.