The Impact of Social Media Algorithms on Language Use and Psychological Well-being

Abstract

This article examines the influence of social media algorithms on language use and psychological well-being. As social media platforms increasingly rely on algorithmic curation to personalize content, they shape the way users interact, communicate, and engage with information. Algorithms prioritize content that generates emotional reactions, often promoting specific linguistic patterns such as sensationalism or emotionally charged language. These changes in language use have significant psychological consequences, including altered self-perception, increased anxiety, and the formation of echo chambers. By analyzing the relationship between algorithm-driven content and its impact on mental health, this article explores how language reflects and influences users’ emotional states and well-being. It further discusses the implications for future research, policy development, and practical strategies to mitigate the negative psychological effects of algorithmic curation.