Human or machine? The perception of artificial intelligence in journalism, its socio-economic conditions, and technological developments toward the digital future

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Human or machine? The perception of artificial intelligence in journalism, its socio-economic conditions, and technological developments toward the digital future

Popis výsledku v původním jazyce

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&apos;s potential in journalism than females, especially among older age groups. The study&apos;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.

Název v anglickém jazyce

Human or machine? The perception of artificial intelligence in journalism, its socio-economic conditions, and technological developments toward the digital future

Popis výsledku anglicky

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&apos;s potential in journalism than females, especially among older age groups. The study&apos;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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

50802 - Media and socio-cultural communication

Projekt

<a href="/cs/project/TL05000057" target="_blank" >TL05000057: Signál a šum v éře Žurnalistiky 5.0 - komparativní perspektiva novinářských žánrů automatizovaných obsahů</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Technological Forecasting and Social Change

ISSN

0040-1625

e-ISSN

1873-5509

Svazek periodika

200

Číslo periodika v rámci svazku

March 2024

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

12

Strana od-do

123162

Kód UT WoS článku

001148245100001

EID výsledku v databázi Scopus

2-s2.0-85181122623