Concept
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
- Study 2 focused on the spread of misinformation and whether participants would be inclined to share the presented headlines on social media by including an additional warning and verification treatment group where headlines are explicitly labeled as true or false. Study 2 also asked participants if they thought the untagged headlines were verified or just not checked yet
- Used Mechanical Turk to recruit 2,991 participants but ultimately only 1,568 people were included in the experiment due to failure to meet criteria
- Similar to Study 1, participants were shown 32 headlines from a pool of 36 false and 28 true headlines and randomly divided 3 groups – control (16 true and 16 false headlines without any warnings or labels), warning treatment (12 false headlines had huge FALSE label; 4 false and 16 true headlines as is), warning and verification treatment (12 false headlines had FALSE label and 12 true headlines had TRUE stamped across)
- Ran logistic regressions with robust standard errors on each participant
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Updated 2021-05-12
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CSCW (Computer-supported cooperative work)
Computing Sciences
Related
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