Deepfake Ads dataset 2025

Data constructs:
Main Construct
Brand Reputation (RP)
AVE=0.764;
CR=0.929;
α=0.845

Reliability (RL)
AVE=0.710;
CR=0.920;
α=0.918

Usefulness (US)
AVE=0.758;
CR=0.899;
α=0.894

Accuracy (ACC) AVE=0.866;
CR=0.955;
α=0.949

Authenticity (AUC) AVE=0.609;
CR=0.866;
α=0.835

Preciseness (PRE)
AVE=0.759;
CR=0.955;
α=0.897

Originality (OR)
AVE=0.637;
CR=0.836;
α=0.802

Relevance (RE)
AVE=0.789;
CR=0.889;
α=0.868

Humanness (HUM) AVE=0.466;
CR=0.724;
α=0.709

Propensity to Trust (PTR)
AVE=0.738;
CR=0.826;
α=0.822

Trust in Deepfake ads (TR)
AVE=0.738;
CR=0.899;
α=0.894

数据构念：
核心构念
品牌声誉（Brand Reputation，缩写RP）：平均方差提取值（Average Variance Extracted，AVE）=0.764；组合信度（Composite Reliability，CR）=0.929；克朗巴哈α系数（Cronbach's α）=0.845

信度（Reliability，缩写RL）：AVE=0.710；CR=0.920；α=0.918

有用性（Usefulness，缩写US）：AVE=0.758；CR=0.899；α=0.894

准确性（Accuracy，缩写ACC）：AVE=0.866；CR=0.955；α=0.949

真实性（Authenticity，缩写AUC）：AVE=0.609；CR=0.866；α=0.835

精准性（Preciseness，缩写PRE）：AVE=0.759；CR=0.955；α=0.897

原创性（Originality，缩写OR）：AVE=0.637；CR=0.836；α=0.802

相关性（Relevance，缩写RE）：AVE=0.789；CR=0.889；α=0.868

人文性（Humanness，缩写HUM）：AVE=0.466；CR=0.724；α=0.709

信任倾向（Propensity to Trust，缩写PTR）：AVE=0.738；CR=0.826；α=0.822

对深度伪造广告的信任（Trust in Deepfake ads，缩写TR）：AVE=0.738；CR=0.899；α=0.894