Pareto optimization of textual and engagement features for crime-related social media analytics
Crime-related social media content provides valuable information for situational awareness and policy support; however, engagement-driven signals, such as likes and retweets, can introduce popularity bias and affect predictive outcomes. This study proposes a fairness-aware, Pareto-based, multi-objective optimization fr...