Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/32067
Title: How is the Use of AI in Social Media Accepted by Users and Impacting Human – Computer Interfacing in That Area?
Authors: Ali, TMA
Manivannan, N
Xu, Y
Keywords: artificial intelligence;social media;trust;data security;FoMO
Issue Date: 24-Sep-2025
Publisher: The Brooklyn Research and Publishing Institute
Citation: Ali, T.M.A., Manivannan, N. and Xu, Y. (2025) 'How is the Use of AI in Social Media Accepted by Users and Impacting Human – Computer Interfacing in That Area?', International Journal of Psychology and Behavioral Science, 13, 8, pp. 1 - 17. doi: 10.15640/jpbs.v13p8.
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.
Description: Data Availability: The data used for this research is readily available in the public domain from gov.uk, [31], cybercrew.co.uk, [36], and Statista,.[34]. Data from Dixon, [33], however, whilst it supports the other sources, is not licensed for reproduction here and must be examined on the Statista website. The data has been extracted from these sources and is not presented here in the original format.
URI: https://bura.brunel.ac.uk/handle/2438/32067
DOI: https://doi.org/10.15640/jpbs.v13p8
ISSN: 2374-2380
Other Identifiers: ORCiD: Talal Mulla Ali https://orcid.org/0009-0001-6356-380X
ORCiD: Nadarajah Manivannan https://orcid.org/0000-0002-8957-6895
ORCiD: Yanmeng Xu https://orcid.org/0000-0001-5549-1079
Abstract number: 8
Appears in Collections:Brunel Design School Research Papers

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