Table 1 The models of news content imprecision and news content polarization explain best participants’ success in assessing the news veracity
From: Metacognition biases information seeking in assessing ambiguous news
Model comparison with WAIC | ||||||
|---|---|---|---|---|---|---|
Models | ΔWAIC | ΔSE | WAIC | SE WAIC | pWAIC | Weight |
News content imprecision & polarization | 0 | 0 | 16890.63 | 33.54 | 10.3 | 1 |
News content polarization | −30.22 | 8.06 | 16951.08 | 29.88 | 8.27 | 0 |
News content imprecision | −105.5 | 14.44 | 17101.64 | 17.33 | 8.59 | 0 |
Response times | −125.99 | 16.96 | 17142.62 | 11.55 | 8.86 | 0 |
Non-informative beta response | −132.22 | 16.72 | 17155.06 | 9.99 | 7.36 | 0 |
Beliefs alignment | −134.52 | 16.37 | 17159.68 | 7 | 6.25 | 0 |
Subject random-effects | −134.56 | 16.37 | 17159.75 | 6.69 | 6.31 | 0 |
Veracity judgment | −135.01 | 16.34 | 17160.65 | 7.26 | 7.3 | 0 |
