The study provides a compelling examination of how content dissimilarity in online product reviews impacts perceived helpfulness, introducing valuable metrics for topic and lexical differences. However, the analysis raises questions about the potential influence of multicollinearity, as some predictors may exhibit redundancy, potentially affecting the reliability of the results. Furthermore, the fixed-effects modeling approach might not fully capture category-specific variability, particularly for niche or high-end products where review dynamics differ significantly. Could the authors provide further justification for this modeling choice and discuss how alternative approaches, such as hierarchical models, might offer deeper insights into category-level effects?
