Table 2 Logistic regression results of... | Emerald Publishing

Table 2

Logistic regression results of deepfake priming and medium on belief in deepfakes and sharing intention (N = 298)

Antecedent	Belief in deepfakes					Sharing intention
Antecedent	B	SE	Exp(B)	p	WALD	B	SE	Exp(B)	p	WALD
Block 1
Constant	0.68	0.39	0.08	0.08	3.04	0.37	0.40	1.44	0.35	0.85
Priming (1 no; 2 yes)	−0.34	0.24	0.71	0.15	2.08	−0.52*	0.24	0.59	<0.05	4.54
Medium (1 social media; 2 news website)	−0.17	0.24	0.84	0.46	0.54	−0.41	0.24	0.65	0.08	2.97
	R² = 1.2%					R² = 3.3%
Block 2
Constant	1.19*	0.55	3.31	<0.05	4.73	0.68	0.52	1.98	0.19	1.68
priming*medium	0.64	0.47	1.90	0.17	1.85	0.44	0.48	1.56	0.36	0.83
	R² = 2.0%					R² = 3.7%

Antecedent	Belief in deepfakes					Sharing intention
Antecedent	B	SE	Exp(B)	p	WALD	B	SE	Exp(B)	p	WALD
Block 1
Constant	0.68	0.39	0.08	0.08	3.04	0.37	0.40	1.44	0.35	0.85
Priming (1 no; 2 yes)	−0.34	0.24	0.71	0.15	2.08	−0.52*	0.24	0.59	<0.05	4.54
Medium (1 social media; 2 news website)	−0.17	0.24	0.84	0.46	0.54	−0.41	0.24	0.65	0.08	2.97
	R² = 1.2%					R² = 3.3%
Block 2
Constant	1.19*	0.55	3.31	<0.05	4.73	0.68	0.52	1.98	0.19	1.68
priming*medium	0.64	0.47	1.90	0.17	1.85	0.44	0.48	1.56	0.36	0.83
	R² = 2.0%					R² = 3.7%

Note(s): *p < 0.05; **p < 0.01; ***p < 0.001

Source(s): Authors’ own work