Man vs. machine: Multi-country experimental evidence on the quality and perceptions of AI-generated research blog content
Fig 2
Heterogeneity in Perceptions of the Quality of the Blogs Fig 2.
* Notes: * p < 0.1, ** p < 0.05, *** p < 0.01. This figure reports on the perceptions of blog quality measured using 10 attributes of high quality blogs [45,52–54] across four dimensions of heterogeneity. Panel a) reports on the grade level of the blog, Panel b) on whether the respondent has previously used AI, Panel c) on whether the respondent trusts AI to write high-quality blogs, and Panel d) by gender (female = 1). Red (attribute = 0), blue (attribute = 1), and black (difference) lines are point estimates and 95% confidence intervals. Perceptions are measured using a 5-point Likert scale ranging from ‘strongly disagree’ (0) to ‘strongly agree (4) that the blog is high-quality with respect to that attribute. The 10 attributes are: blog had an appropriate amount of detail, a clear rationale, a catchy title, good visual presentation, an appropriate tone, was of adequate length, was easy to understand, and provided clear, relevant, and sufficiently detailed recommendations. We control for respondent characteristics, wave, and strata (country, seniority, and gender) fixed effects. Standard errors are clustered at the individual level (the unit of randomization).