Details
| Original language | English |
|---|---|
| Article number | 107445 |
| Journal | Computers in human behavior |
| Volume | 138 |
| Early online date | 20 Aug 2022 |
| Publication status | Published - Jan 2023 |
| Externally published | Yes |
Abstract
Texts produced by artificial intelligence (AI) are becoming increasingly prevalent in digital journalism. Research suggests that these texts do not differ from human-written texts in their perceived credibility or trustworthiness where simple and short text types are concerned. However, it is unclear how AI-written texts beyond simple fact reporting are perceived. Therefore, this research aimed to expand upon the existing literature on automated journalism by investigating the influence of AI authorship (vs. human authorship) and evaluative information presentation (vs. neutral information presentation). The results of three preregistered experimental studies revealed no differences in perceived credibility and trustworthiness between AI-written and human-written texts. However, presenting information in an evaluative way decreased the perception of credibility and trustworthiness. Moreover, the AI was perceived as less anthropomorphic than the human author. The belief in the machine heuristic was stronger for an AI than for a human author, particularly when participants had actually read an article allegedly written by an AI. A pooled analysis across the data of all three studies underpinned the main effect of information presentation. Concluding, we discuss the findings against the background of AI perception theory and suggest implications for future research.
Keywords
- Algorithm, Artificial intelligence, Automated journalism, Credibility, Information presentation, Trustworthiness
ASJC Scopus subject areas
- Psychology(all)
- Arts and Humanities(all)
- Arts and Humanities (miscellaneous)
- Computer Science(all)
- Human-Computer Interaction
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In: Computers in human behavior, Vol. 138, 107445, 01.2023.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Automated journalism: The effects of AI authorship and evaluative information on the perception of a science journalism article
AU - Henestrosa, Angelica Lermann
AU - Greving, Hannah
AU - Kimmerle, Joachim
N1 - Publisher Copyright: © 2022 Elsevier Ltd
PY - 2023/1
Y1 - 2023/1
N2 - Texts produced by artificial intelligence (AI) are becoming increasingly prevalent in digital journalism. Research suggests that these texts do not differ from human-written texts in their perceived credibility or trustworthiness where simple and short text types are concerned. However, it is unclear how AI-written texts beyond simple fact reporting are perceived. Therefore, this research aimed to expand upon the existing literature on automated journalism by investigating the influence of AI authorship (vs. human authorship) and evaluative information presentation (vs. neutral information presentation). The results of three preregistered experimental studies revealed no differences in perceived credibility and trustworthiness between AI-written and human-written texts. However, presenting information in an evaluative way decreased the perception of credibility and trustworthiness. Moreover, the AI was perceived as less anthropomorphic than the human author. The belief in the machine heuristic was stronger for an AI than for a human author, particularly when participants had actually read an article allegedly written by an AI. A pooled analysis across the data of all three studies underpinned the main effect of information presentation. Concluding, we discuss the findings against the background of AI perception theory and suggest implications for future research.
AB - Texts produced by artificial intelligence (AI) are becoming increasingly prevalent in digital journalism. Research suggests that these texts do not differ from human-written texts in their perceived credibility or trustworthiness where simple and short text types are concerned. However, it is unclear how AI-written texts beyond simple fact reporting are perceived. Therefore, this research aimed to expand upon the existing literature on automated journalism by investigating the influence of AI authorship (vs. human authorship) and evaluative information presentation (vs. neutral information presentation). The results of three preregistered experimental studies revealed no differences in perceived credibility and trustworthiness between AI-written and human-written texts. However, presenting information in an evaluative way decreased the perception of credibility and trustworthiness. Moreover, the AI was perceived as less anthropomorphic than the human author. The belief in the machine heuristic was stronger for an AI than for a human author, particularly when participants had actually read an article allegedly written by an AI. A pooled analysis across the data of all three studies underpinned the main effect of information presentation. Concluding, we discuss the findings against the background of AI perception theory and suggest implications for future research.
KW - Algorithm
KW - Artificial intelligence
KW - Automated journalism
KW - Credibility
KW - Information presentation
KW - Trustworthiness
UR - http://www.scopus.com/inward/record.url?scp=85144015476&partnerID=8YFLogxK
U2 - 10.1016/j.chb.2022.107445
DO - 10.1016/j.chb.2022.107445
M3 - Article
VL - 138
JO - Computers in human behavior
JF - Computers in human behavior
SN - 0747-5632
M1 - 107445
ER -