The Effects of Assumed AI vs. Human Authorship on the Perception of a GPT-Generated Text

Artificial Intelligence (AI) has demonstrated its ability to undertake writing tasks, including automated journalism. Prior studies suggest no differences between human and AI authors regarding perceived message credibility. However, research on people’s perceptions of AI authorship on complex topics is lacking. In a between-groups experiment (N = 734), we examined the effect of labeled authorship on credibility perceptions of a GPT-written science journalism article. The results of an equivalence test showed that labeling a text as AI-written vs. human-written reduced perceived message credibility (d = 0.36). Moreover, AI authorship decreased perceived source credibility (d = 0.24), anthropomorphism (d = 0.67), and intelligence (d = 0.41). The findings are discussed against the backdrop of a growing availability of AI-generated content and a greater awareness of AI authorship.

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Publication Details

Journal
Journalism and Media
Published
2024-08-20
DOI
https://doi.org/10.3390/journalmedia5030069
Citations
27
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
3.25
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article

The Effects of Assumed AI vs. Human Authorship on the Perception of a GPT-Generated Text

Joachim Kimmerle, Angelica Lermann Henestrosa
27 citations
Journalism and Media
Artificial Intelligence in Healthcare and Education
3.25
article

The Effects of Assumed AI vs. Human Authorship on the Perception of a GPT-Generated Text

Joachim Kimmerle, Angelica Lermann Henestrosa
article en
27 citations

Abstract

Artificial Intelligence (AI) has demonstrated its ability to undertake writing tasks, including automated journalism. Prior studies suggest no differences between human and AI authors regarding perceived message credibility. However, research on people’s perceptions of AI authorship on complex topics is lacking. In a between-groups experiment (N = 734), we examined the effect of labeled authorship on credibility perceptions of a GPT-written science journalism article. The results of an equivalence test showed that labeling a text as AI-written vs. human-written reduced perceived message credibility (d = 0.36). Moreover, AI authorship decreased perceived source credibility (d = 0.24), anthropomorphism (d = 0.67), and intelligence (d = 0.41). The findings are discussed against the backdrop of a growing availability of AI-generated content and a greater awareness of AI authorship.

Journalism and MediaVol. 5(3)
Leibniz-Institut für Wissensmedien (DE), University of Tübingen (DE)
Quality Education
Openalex Percentile: Top 8%
Artificial Intelligence in Healthcare and Education
3.25
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