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Decoding Deepfake Perceptions: Trustworthiness, Importance and Behavioral Intention

delete2026-06-17
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PRE
AI
V
Vinod Kumar
S
Sachin Kumar
S
Sheshadri Chatterjee
R
Ranjan Chaudhuri *
S
Shivam Gupta
DOI：10.1007/s10796-026-10765-9delete
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摘要

摘要

En 中文
本研究考察了深度伪造内容可信度、内容感知重要性、内容态度以及行为意向之间的关联。此外，还观察了内容感知重要性的中介作用和态度的调节作用。数据通过商场拦截调查方法从德里-ncr地区393名顾客处收集，并使用PLS-SEM检验了提出的理论模型。结果表明，深度伪造内容的可信度显著影响个体的态度和行为意向。内容感知重要性也作为驱动因素和中介因素发挥着重要作用，影响着用户与深度伪造媒体的互动方式。本研究将为从业者、媒体平台和数字内容创作者提供洞察，以应对虚假信息并增强受众信任。本研究还从精细加工可能性模型的角度提供了有价值的观点，说明了用户在人工智能生成媒体时代如何进行内容评估。
Keyword:
Deepfake Content
Deepfake Perceptions
Deepfake Trustworthiness
Importance of Content
Behavioral Intentions

期刊

Information Systems Frontiers 封面图
Information Systems Frontiers
IF:
8.3
论文数:
2.0K
被引数:
6.5K

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E
emlv business school
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7
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被引数: 1
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department of management studies
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59
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D
department of management and humanities
学者数:
2
论文数: 2
被引数: 0
F
flame school of communication
学者数:
2
论文数: 1
被引数: 0
D
Department of Information Systems
学者数:
82
论文数: 60
被引数: 0
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