Table 1.

Correlations between the percent of CRA problems solved via insight and step-by-step analysis, percent of CRT problems, fake news detected (overall and divided in political and non-political content), real news detected, and the probability of sharing both fake news and real news content on the media.

Correlations
		Percent of CRAs solved	CRAs solved via insight	CRAs solved via step-by-step	Percent of CRT solved
Fake news overall	Pearson’s r	−0.491 ***	−0.503 ***	−0.087	−0.400 **
	p-value	< .001	< .001	0.506	0.001
	Upper 95% CI	−0.273	−0.288	0.169	−0.165
	Lower 95% CI	−0.661	−0.670	−0.331	−0.592
Political Fake News	Pearson’s r	−0.364 **	−0.416 ***	−0.028	−0.346 **
	p-value	0.004	< .001	0.829	0.006
	Upper 95% CI	−0.123	−0.184	0.225	−0.104
	Lower 95% CI	−0.564	−0.605	−0.278	−0.550
Non-Political Fake News	Pearson’s r	−0.469 ***	−0.432 ***	−0.124	−0.325 *
	p-value	< .001	< .001	0.339	0.010
	Upper 95% CI	−0.247	−0.203	0.132	−0.080
	Lower 95% CI	−0.645	−0.617	−0.365	−0.534
Real News overall	Pearson’s r	−0.219	−0.119	−0.165	−0.113
	p-value	0.090	0.361	0.205	0.388
	Upper 95% CI	0.034	0.137	0.091	0.143
	Lower 95% CI	−0.446	−0.360	−0.400	−0.354
Fake News Sharing	Pearson’s r	−0.242	−0.274 *	−0.014	−0.242
	p-value	0.060	0.032	0.917	0.061
	Upper 95% CI	0.010	−0.024	0.239	0.011
	Lower 95% CI	−0.466	−0.492	−0.265	−0.465
Real News Sharing	Pearson’s r	−0.200	−0.286 *	0.053	−0.147
	p-value	0.121	0.025	0.683	0.259
	Upper 95% CI	0.054	−0.037	0.301	0.109
	Lower 95% CI	−0.431	−0.502	−0.201	−0.384

The bold values indicate significant results with statistical thresholds of *p < .05, **p < .01, ***p < .001 respectively.