Human or machine? The perception of artificial intelligence in journalism, its socio-economic conditions, and technological developments toward the digital future
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11230%2F24%3A10475431" target="_blank" >RIV/00216208:11230/24:10475431 - isvavai.cz</a>
Result on the web
<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=Z95jlZMBql" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=Z95jlZMBql</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.techfore.2023.123162" target="_blank" >10.1016/j.techfore.2023.123162</a>
Alternative languages
Result language
angličtina
Original language name
Human or machine? The perception of artificial intelligence in journalism, its socio-economic conditions, and technological developments toward the digital future
Original language description
This study surveyed 1041 people in the Czech Republic to determine how well they could differentiate between news articles created by humans and those created by artificial intelligence (AI). It also explored attitudes toward AI-generated audio recordings and the future of journalism with AI. The study found that gender, age, and socioeconomic status were significant factors in how well respondents recognized the source of the text. Females were better at identifying human-generated texts, while males at identifying AI-generated texts. Younger respondents were generally more adept at recognizing AI-generated texts, education and income levels were also found to be correlated with better accuracy. Attitudes toward AI in journalism varied with age, with the 18-29 age group displaying ambivalence, the 30-49 age group being uncertain, the 50-69 age group having diverse attitudes, and the 70+ age group being skeptical. Males were more optimistic about AI's potential in journalism than females, especially among older age groups. The study's findings highlight the need for targeted digital literacy interventions tailored to different demographic groups. It provides insights into the development of digital literacy and the readiness of the population to use automated information outputs. This is essential to address the challenges of future technological development.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
50802 - Media and socio-cultural communication
Result continuities
Project
<a href="/en/project/TL05000057" target="_blank" >TL05000057: The Signal and the Noise in the Era of Journalism 5.0 - A Comparative Perspective of Journalistic Genres of Automated Content</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Technological Forecasting and Social Change
ISSN
0040-1625
e-ISSN
1873-5509
Volume of the periodical
200
Issue of the periodical within the volume
March 2024
Country of publishing house
US - UNITED STATES
Number of pages
12
Pages from-to
123162
UT code for WoS article
001148245100001
EID of the result in the Scopus database
2-s2.0-85181122623