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Personal Network Composition and Cognitive Reflection Predict Susceptibility to Different Types of Misinformation

Matthew Facciani
Matthew Facciani
 und 
Cecilie Steenbuch-Traberg
Cecilie Steenbuch-Traberg
   | 28. Juni 2024
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Article Category: Article
Online veröffentlicht: 28. Juni 2024
Seitenbereich: -
DOI: https://doi.org/10.21307/connections-2019.044
Schlüsselwörter
© 2024 Matthew Facciani et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.

Figure 1:

Increased political network homogeneity predicts higher belief in political rumor.
Increased political network homogeneity predicts higher belief in political rumor.

Figure 2:

Republican network homogeneity predicts belief in conservative fake news.
Republican network homogeneity predicts belief in conservative fake news.

Figure 3:

Higher cognitive reflection predicts lower belief in conservative fake news in Republicans.
Higher cognitive reflection predicts lower belief in conservative fake news in Republicans.

Summary of hypotheses results.

Hypothesis Result
H1: Homogeneity increases importance of political identity. ✓
H2: Homogeneity increases ingroup evaluation. ✓
H3a: Homogeneity increases political rumor bias. PS: Only for helping rumor
H3b: Homogeneity increases sharing political rumor bias. PS: Only for helping rumor
H4a: Homogeneity increases fake headline bias. PS: Only for Republicans
H4b: Homogeneity increases sharing fake headline bias. PS: Only for Republicans
H5a: Cognitive reflection not related to rumor belief. ✓
H5b: Cognitive reflection not related to rumor sharing. ✓
H6a: Cognitive reflection predicts fake news belief. PS: Only for Republicans
H6b: Cognitive reflection predicts fake news sharing. PS: Only for Republicans

Hypothesis summary list.

Hypothesis
H1: Homogeneity increases importance of political identity.
H2: Homogeneity increases ingroup evaluation.
H3a: Homogeneity increases political rumor bias.
H3b: Homogeneity increases sharing political rumor bias.
H4a: Homogeneity increases fake headline bias.
H4b: Homogeneity increases sharing fake headline bias.
H5a: Cognitive reflection not related to rumor belief.
H5b: Cognitive reflection not related to rumor sharing.
H6a: Cognitive reflection predicts fake news belief.
H6b: Cognitive reflection predicts fake news sharing.

The influence of network homogeneity on fake news headlines (Democrats and Republicans).

Liberal fake news Share liberal fake news Conservative fake news Share conservative fake news
Network homogeneity −0.257 (−1.19) 0.147 (0.54) 0.465~1.69 0.012 (0.04)
Number of alters 0.07 (0.99) 0.078 (0.88) 0.001 (0.01) −0.116 (−1.23)
Higher liberalism 0.075 (1.36) 0.024 (0.35) −0.168* (−2.14) −0.064 (−0.74)
Constant 3.52** (5.67) 2.55** (3.25) 4.064 (7.43) 3.48** (5.70)
N 107 107 107 107

The influence of network homogeneity on political rumor likelihood and sharing.

Ingroup helping rumor belief Outgroup bullying rumor belief Share ingroup helping rumor Share outgroup bullying rumor
Network homogeneity 0.191~(1.74) 0.055 (0.47) 0.256* (2.52) 0.081 (0.72)
Number of alters −0.001 (−0.02) 0.007 (0.20) 0.037 (1.15) −0.005 (−0.14)
Higher liberalism −0.034 (−1.18) −0.021 (−0.66) −0.059* (−2.17) −0.064 (−2.14)
Democrat identification 0.133 (0.73) 0.289 (1.46) 0.201 (1.19) 0.359~(1.92)
Constant 0.614** (2.75) 0.453~(1.88) 0.288 (1.39) 0.670** (2.93)
N 214 214 214 214

Homogeneity predicts political identity importance.

Political identity importance
Network homogeneity 0.527** (3.28)
Number of alters 0.011 (0.23)
Higher liberalism 0.038 (0.89)
Democrat identification 0.214 (0.80)
Constant 2.392** (7.32)
N 214

The influence of network homogeneity on political group ratings.

Ingroup evaluation Outgroup evaluation
Network homogeneity 0.581** (2.69) −0.670** (−2.61)
Number of alters 0.105 (1.53) 0.035 (0.43)
Higher liberalism −0.096~(1.66) −0.058 (−0.84)
Democrat identification 0.625~(1.74) −0.286 (−0.67)
Constant 1.295** (2.95) −0.931~(−1.78)
N 214 214

Cognitive reflection predicts fake news headline belief in Republicans.

Liberal fake news Share liberal fake news Conservative fake news Share conservative fake news
CRT scores −0.026 (−0.46) −0.083 (−1.15) −0.115~(−1.82) −0.040 (−0.57)
Higher liberalism 0.068 (1.23) 0.038 (0.56) −0.190* (−2.44) −0.077 (−0.88)
Constant 3.90 (7.44) 3.20 (4.90) 4.72** 3.11
11.95 7.00
N 107 107 107 107

Cognitive reflection does not predict political rumors likelihood.

Ingroup helping rumor Outgroup bullying rumor Share ingroup helping rumor Share outgroup bullying rumor
CRT scores −0.19 (−0.71) −0.011 (−0.37) 0.020 (0.79) 0.016 (0.59)
Higher liberalism −0.012 (−0.76) 0.019 (1.06) −0.029~(−1.86) −0.165 (−0.97)
Constant 0.690 (4.69) 0.443 (2.80)** 0.411** (2.98) 0.495 (3.28)
N 214 214 214 214
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