Effects of AI-Generated Social Media Content on User Trust and Information Credibility

Shubham Raut1

Department of Computer Technology, Amrutvahini College of Polytechnic, Sangamner, Maharashtra, India

Email: Shubhamraut96k@gmail.com

Abstract

Artificial Intelligence (AI) has transformed social media by enabling automated generation of text, images, videos, and interactive content [2], [3], [23]. Platforms increasingly utilise AI-generated content for marketing, communication, education, and engagement. However, concerns regarding misinformation, authenticity, transparency, and user trust have emerged. This systematic review examines recent studies published between 2020 and 2026 on the impact of AI-generated social media content on user trust and information credibility. The review analysis’s key themes include transparency, deepfakes, AI influencers, source credibility, and digital literacy. Findings suggest that undisclosed AI-generated content often reduces trust, while transparency labels and source verification improve perceived credibility. The study identifies major research gaps and proposes future directions for developing trustworthy AI-driven social media ecosystems.

Key Words: Artificial Intelligence, Generative AI, Social Media, User Trust, Information Credibility, Deepfakes.