THE INFLUENCE OF AI-GENERATED CONTENT ON TRUST AND CREDIBILITY WITHIN SPECIALIZED ONLINE COMMUNITIES: A BRIEF REVIEW ON PROPOSED CONCEPTUAL FRAMEWORK

The increasing prevalence of Artificial Intelligence (AI) in creating content signifies a notable change in the digital communication landscape. While the broader effects on widespread media platforms have been extensively discussed, the specific consequences within specialized online communities remain less explored. These communities, frequently founded and established on shared interests, mutual confidence, and perceived genuineness, are particularly susceptible to alterations in the origin and trustworthiness of content. This paper challenges three questions: (1) How AI content affects credibility perceptions, (2) Verification methods used by communities, (3) Consequences for trust dynamics. A hypothetical framework would be used to investigate the potential impact of AI-produced content on the dynamics of trust and credibility within these focused digital environments. By drawing upon existing academic work in media studies, the behavior of online communities, and the concept of source credibility, a theoretical model and outline a potential research strategy were encouraged to examine how the presence, identification, and interpretation of content authored by AI might modify member interactions, processes for verifying information, and the overall unity of the community. The hypothetical outcome suggests that the subtle integration of AI content could diminish perceived authenticity, complicate established indicators of trust, and potentially lead to the fragmentation or decline of communities that depend on authentic human connection and collective expertise. The article concludes by considering the ramifications for those who manage communities, design platforms, and participate as members, stressing the importance of greater openness and digital literacy in navigating the evolving digital media landscape.