Consumer complaints offer invaluable insights into product-related risks and serve as a crucial channel for enhancing consumer protection. This study investigates how linguistic features in complaint narratives correlate with the severity of reported injuries. Drawing on publicly available complaint records from the U.S. Consumer Product Safety Commission (CPSC), we employ an ordered logistic regression to examine five key linguistic dimensions—social distance, attribution of responsibility, information richness, emotional empathy, and gendered language—and their joint influence on the way consumers describe their experiences. Our results underscore the pivotal role of language patterns in signaling complaint seriousness, shedding light on how consumers articulate distress and urgency under severe circumstances. These findings carry practical implications for both regulators and manufacturers: authorities can leverage linguistic markers to triage urgent cases and develop automated risk‐monitoring tools, while companies can apply sentiment and text analytics to detect emerging consumer concerns and proactively address potential safety issues. As online complaint volumes continue to rise, our work advances the application of text analysis methodologies in consumer safety and risk assessment.