Home > Psychology, Behavioral Science > Vol 13 2025 Abstract 8
Article Icon Article Information
Original Research Article | Open Access | Peer Reviewed update icon Check for updates

How is the Use of AI in Social Media Accepted by Users and Impacting Human – Computer Interfacing in That Area?

Talal Mulla Ali Email , Dr. Nadarajah Manivannan , and Yanmeng Xu
Abstract The study examines current international growth in the use of social media which uses AI extensively and asks whether the unconscious acceptance of AI by social media users is having any impact on human – computer interfacing (HCI) research for the purpose of AI use in social media. It also asks whether the public acceptance of AI-based social media is based on trust in the technology or simply due to there being no real alternative. The study combines a systematic review of the current literature related to the subject under investigation with an analysis of secondary data from statistics, government surveys, and trade sources. The major finding related to whether the public trust the use of AI and technology is that the more of it that is available in a society, the less it appears to be trusted – Western advanced societies have a markedly lower level of trust in technology and AI than developing nations. However, it is observed that the lack of trust does not equate to a lack of use, since the countries where the trust is lowest are also the countries experiencing the fastest growth in the use of bot AI and social media. It is clear that further research is needed because this study cannot be wide enough in its scope to understand the apparent contradictions in the data. This is original research based on secondary data in an area where growth and change are rapid but is based on the most up to date material available.
Full Text: PDF   |   DOI: https://doi.org/10.15640/jpbs.v13p8
Article History:
Published: 24 September 2025
Reviewer(s): Opted for Confidentiality
Address for Correspondence: Talal Mulla Ali, Brunel Design School, Brunel University London, Kingston Lane, Uxbridge UB8 3PH, UK.
Email: [email protected]
Cite this article:
APA | MLA | Chicago | Harvard | Vancouver
Article Metrics (Citations):
For the most up-to-date citation information for this article, please refer to Google Scholar.

Note: Citation statistics will only be available once the article is indexed in Google Scholar.