Year: 2025
Type: article
Abstract: : Artificial intelligence (AI) has significantly influenced content distribution on social media, but it has also contributed to the rapid dissemination of misinformation. AI-powered technologies, such as deep fake manipulation, automated content creation, and engagement-driven algorithms, facilitate the swift production and amplification of false information. This paper investigates how AI is leveraged to spread misinformation across major social media platforms, including Facebook, Twitter (X), YouTube, and Instagram. Through a case study approach, we examine real-world incidents where AI-generated content has misled users, particularly in political campaigns, public health crises, and viral digital trends. Social media algorithms, designed to boost engagement, often unintentionally amplify misleading content, making the detection and regulation of misinformation more challenging. This study explores the difficulties in identifying AI-generated fake news and assesses the effectiveness of current fact-checking mechanisms and moderation strategies. While AI plays a role in propagating misinformation, it can also serve as a solution through advanced natural language processing (NLP), deep fake detection technologies, and automated verification systems. The findings emphasize the necessity of ethical AI usage, enhanced content moderation techniques, and stricter regulatory frameworks to curb AI-driven misinformation. Strengthening detection technologies and raising public awareness can significantly reduce the impact of false information on social media ecosystems.
Authors: Akash Kumar, Shyam Shankar Dwivedi
Language: English
Subfield: Sociology and Political Science
Field: Social Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4410929242