The Relationship between Perceived Transparency and Trust in AIGC-Generated News Content among individuals with tertiary education or higher: A Case Study of Shandong Province
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Keywords
AIGC; transparency, perceived news transparency, trust, college students
Abstract
This study examines the relationship between perceived transparency and trust in AI-generated content (AIGC) news among tertiary-educated populations. Drawing on survey data from 408 respondents with tertiary education or higher in Shandong Province, China, we investigated perceptions of transparency in AIGC-generated news and trust levels toward such content. Statistical analysis using SPSS revealed two key findings: First, demographic characteristics, including age and educational attainment, significantly affect audiences' perceived transparency of AIGC-generated news and their trust in this content. Second, perceived transparency exhibits a positive correlation with trust, indicating that higher levels of perceived transparency correspond to increased trust among audiences. These findings advance quantitative understanding of the transparency-trust relationship in AIGC-generated news consumption and offer practical implications for enhancing the credibility and acceptance of AI-generated journalism.
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