Artificial Intelligence and News: Opportunities, Trends and Challenges — A Systematic Literature Review

Artificial intelligence (AI) has become a central topic across numerous fields and is increasingly embedded in both the personal and professional dimensions of contemporary life. In the realm of journalism and news production, AI is gaining prominence, presenting not only innovative opportunities but also significant challenges and ethical concerns. Its integration into journalistic workflows and news consumption processes raises complex questions related to automation, bias, transparency, accountability, and the future of creative labor in the media industry.This study conducts a systematic review of the academic literature on the intersection of AI and news, focusing on publications from January 2020 to September 2024. The research was guided by the PRISMA methodology and involved a rigorous selection process of academic sources indexed in the Scopus and Web of Science databases, resulting in a final corpus of 43 relevant articles and book chapters. The review maps the main sub-themes under investigation — such as the use of AI in content creation, algorithmic gatekeeping, audience engagement, and regulatory implications.Through a narrative analysis, this article synthesizes the key findings of existing studies and highlights emerging trends and research gaps. It offers critical reflections on the implications of AI for journalistic practice and democratic communication and suggests directions for future scholarly inquiry and regulatory development.