Negative news content is on the rise on social media, especially in the aftermath of the COVID-19 pandemic. This has led to increased interest in doomscrolling, a relatively new term described as the excessive consumption of negative news on social media. This type of digital behavior has been linked to negative mental health outcomes but also to individual characteristics. The aim of this study was to examine whether the personality traits in the Big Five model predict doomscrolling behavior in a sample of Norwegian adults. A quantitative, cross-sectional design was used in the study to analyze data from 140 participants, on self-report measures of personality and doomscrolling. A hierarchical multiple regression analysis showed that emotional stability was a significant negative predictor of doomscrolling (β = –.300, p = .004), while openness to experience, conscientiousness, extraversion, and agreeableness were non-significant predictors. The final model explained 18% of the variance in doomscrolling. Additionally, participants under the age of 30 reported significantly higher levels of doomscrolling than those aged 30 or older. These findings emphasize the need for interventions like emotion regulation training and mindfulness to help reduce the negative impact of doomscrolling, especially for those with low emotional stability. Keywords: Doomscrolling, Personality traits, Big Five, Emotional stability, Social media