Unveiling information relevance in social media. Bridging journalism theories

Abstract

In the digital era, social media platforms have become pivotal sources of news, reshaping traditional journalism paradigms and raising questions about the relevance of the information they host. This paper explores the multifaceted landscape of information relevance in social media through the lens of journalism theories. Drawing upon a synthesis of existing literature, this study delves into the theoretical frameworks underpinning journalism, including agenda-setting, gatekeeping, framing, and social responsibility. By
examining how these theories manifest in social media, this study clarifies the intricate interactions among platform algorithms, user behaviour, and societal ramifications. Additionally, this study examines how algorithmic biases, viral dynamics, and user generated content shape how information is perceived and shared on social media platforms. Through a comprehensive analysis, this study aims to deepen understanding of the evolving landscape of journalism in the digital age and to offer insights into the ethical, societal, and professional implications of information dissemination via social media.