The Ethics of Using AI in News Coverage

Abstract

AI in news media can make journalism easier for overburdened resources without replacing journalists' unique skills. Additionally, AI can enhance new forms of participation and leverage new products that could increase news media consumption.  The objective of this study was to analyze the ethical concerns of participants associated with AI in news reporting and their impact on trust, accuracy, and credibility. This cross-sectional study surveyed 100 journalists from Youm7 News, Cairo 24 News, and the Emirates News Agency using a structured questionnaire to assess their attitudes towards AI in news coverage. Data were collected both online and via paper forms, analyzed using SPSS for descriptive statistics, cross-tabulation, and significance testing. Stratified sampling ensured diverse representation across demographic and professional groups. The study analyzed data from 100 participants, revealing a mean age category of 25-34 years. A significant relationship was found between perception of AI and trust in AI news (Pearson Chi-Square = 18.447, p = 0.018). Additionally, AI was perceived to significantly improve accuracy (t = 3.342, p = 0.001) and benefits (F = 3.756, p = 0.027). The regression model explained 27.5% of the variance in trust in AI news (R² = 0.275, p = 0.001). AI in news coverage presents both efficiency and challenges, necessitating ethical guidelines and effective training to ensure transparency and enhance journalist integrity.