https://orcid.org/0000-0003-1884-3252
Figures & data
Table 1. Overview of questions and measured constructs in the online survey. The measured constructs refer to abilities that have been identified as important for the detecting of false news online. The questions are referred to in the text with the names in parentheses.
Table A1. List of categories based upon programs of participants (n = 2216).
Table B1. Estimates of Best Fitting Logistic Regression Model for Correct/Incorrect Coded Multiple Choice Answers on Expressen with Coefficients Denoting the Log Odds of Answering Correct for a Unit Increase of the Ordinal Predictors and the Expected Log Odds for Each Category Compared with the Baseline Category for the Categorial Predictors.
Table B2. Estimates of Best Fitting Logistic Regression Model for Correct/Incorrect Coded Multiple Choice Answers on Aftonbladet, with Coefficients Denoting the Log Odds of Answering Correct for a Unit Increase of the Ordinal Predictors and the Expected Log Odds for Each Category Compared with the Baseline Category for the Categorial Predictors.
Table B3. Estimates of Best Fitting Logistic Regression Model for Correct/Incorrect on Smoking, with Coefficients Denoting the Log Odds of Answering Correct for a Unit Increase of the Ordinal Predictors and the Expected Log Odds for Each Category Compared with the Baseline Category for the Categorial Predictors.
Table B4. Estimates of Best Fitting Logistic Regression Model for Correct/Incorrect on Climate Change, with Coefficients Denoting the Log Odds of Answering Correct for a Unit Increase of the Ordinal Predictors and the Expected Log Odds for Each Category Compared with the Baseline Category for the Categorial Predictors.