EconPapers    
Economics at your fingertips  
 

The level of attitudinal functions among members of The AI Forum Indonesia towards the use of artificial intelligence as a source of information

Syarifah Fauziah Rahmadhani (), Eni Maryani and Ira Mirawati
Additional contact information
Syarifah Fauziah Rahmadhani: Faculty of Communication Sciences, University of Padjadjaran, West Java.
Eni Maryani: Faculty of Communication Sciences, University of Padjadjaran
Ira Mirawati: Faculty of Communication Sciences, University of Padjadjaran

Priviet Social Sciences Journal, 2026, vol. 6, issue 4, 372-384

Abstract: The use of artificial intelligence in everyday life is becoming increasingly widespread, particularly in the process of information retrieval. However, previous studies have largely focused on attitudes towards artificial intelligence from positive and negative perspectives, attitude-forming factors, or usage intentions; consequently, the psychological functions underpinning these attitudes have not yet been discussed in depth, particularly with regard to the strengths of each attitude function. This study aims to analyse the level of attitude functions among the public regarding the use of artificial intelligence as a source of information based on the Functional Attitude Theory perspective. This study employs a quantitative descriptive method within a positivist paradigm. Data were collected via a questionnaire from 73 respondents who are members of the Indonesian AI Forum, selected using purposive sampling. Data analysis was conducted using descriptive statistics on the four attitude functions—utilitarian, ego-defensive, ego-defensive, and knowledge—to identify the strength of each attitude function.

Keywords: artificial intellegence; functional attitude; information; public attitude (search for similar items in EconPapers)
Date: 2026
References: Add references at CitEc
Citations:

Downloads: (external link)
https://journal.privietlab.org/download.php?id=13478 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:prv:pssjpv:1764

Ordering information: This journal article can be ordered from
https://journal.priv ... SJ/article/view/1764

DOI: 10.55942/pssj.v6i4.1764

Access Statistics for this article

More articles in Priviet Social Sciences Journal from Privietlab Research Center
Bibliographic data for series maintained by Mochammad Fahlevi ().

 
Page updated 2026-09-26
Handle: RePEc:prv:pssjpv:1764