Impact of AI Integration on Journalists' Mental Health: A Quantitative Study.

Abstract

Background: The field of journalism has undergone substantial transformation with the integration of artificial intelligence (AI), leveraging technologies like natural language processing and automated reporting. These advancements enhance information processing speed, enable personalised content delivery and improve data analysis capabilities, thereby reshaping journalism practices.

Purpose: Despite the benefits AI offers, concerns persist regarding its impact on job security and the mental health of journalists. Rapid technological changes can lead to increased job insecurity, altered job roles and heightened pressure to adapt, potentially affecting journalists' mental well-being.

Methods: This study utilises the Depression, Anxiety, and Stress Scale (DASS-21) to assess levels of depression, anxiety and stress among 500 journalists from various media organisations that have integrated AI technologies. Quantitative data analysis explores the relationship between AI integration and mental health outcomes.

Results: The findings indicate significant correlations between the perceived threat of AI replacing jobs and higher levels of depression among journalists. Mixed effects were observed regarding the impact of AI integration on job roles, with associations found between AI integration and both increased depression and reduced stress levels.

Conclusion: AI integration in journalism presents both opportunities and challenges for journalists' mental health. Strategies to address job security concerns, enhance comfort with AI tools through training and establish mental health support systems are crucial for fostering a supportive environment in AI-driven newsrooms.