Concept
The implied truth effect: Attaching warnings to a subset of fake news headlines increases perceived accuracy of headlines without warnings - Study 1 Data Collection and Analysis
- Study 1 focused on addressing the implied truth effect using a collection of false headlines where half did and the other half did not have a “Disputed by 3rd Party Fact-Checkers” warning
- Administered 5 experimental sessions from July to August 2017 to 5,271 American residents recruited from Amazon Mechanical Turk
- Used Snopes.com to choose false news headlines for fabricated stories and accurate news headlines picked from mainstream news sources and were checked for errors, and all headlines were shown in standard “Facebook format”
- Participants were shown 24 headlines from 2016 and 2017 in random orders and asked to determine if they think the headlines are true or not and if they would share it on social media
- Participants were randomly assigned to control (12 false, 12 true headlines without any warnings) or warning treatment (6 randomly chosen false headlines had warnings; 6 false and 12 true without warnings)
- Within the warning treatment, there were two reasons given for why headlines are flagged and participants were randomly given one of the two
- Used single linear regression with robust standard errors for participant and headline and several dummy variables to analyze accuracy ratings for all 24 headlines per person
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Updated 2021-05-12
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CSCW (Computer-supported cooperative work)
Computing Sciences
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The implied truth effect: Attaching warnings to a subset of fake news headlines increases perceived accuracy of headlines without warnings - Study 1 Data Collection and Analysis
The implied truth effect: Attaching warnings to a subset of fake news headlines increases perceived accuracy of headlines without warnings - Study 2 Data Collection and Analysis