Abstract
In the realm of generative artificial intelligence (AI), ChatGPT has garnered widespread acclaim for its remarkably realistic chatbot interactions. Despite its popularity, recent challenges in reliability have emerged. This research uniquely combines the Stimulus-Organism-Response (S-O-R) framework with dual-process theory to dissect the factors influencing ChatGPT’s credibility and popularity. Employing cross-sectional data from select social media platforms, the study identifies quality, accuracy, timeliness, audience familiarity, and congruence with other sources as pivotal elements shaping ChatGPT’s credibility. Significantly, this research reveals how users evaluate the reliability of generative AI-generated search results by comparing them to conventional methods. The study’s novel contribution lies in its exploration of ChatGPT as a medium of communication, offering valuable insights into understanding and enhancing the reliability of generative AI applications in the information landscape.
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