Algorithmic Personalization in Digital Platforms: Balancing Influence and User Protection
Advances in algorithmic personalization are reshaping user behavior on high-stakes digital platforms, particularly in gambling and betting environments. Technology now tracks betting patterns, tailors retention strategies, and delivers customized promotions—enhancing engagement while raising ethical concerns.
Studies reveal indirect behavioral shifts: users who cash out early or receive personalized bonuses often adjust their wagering frequency and stake sizes systematically. These patterns highlight tensions between algorithmic transparency and user autonomy, with personalization potentially exacerbating loss aversion and problematic gambling habits.
Machine learning models analyzing 6,352 players from 2022-2023 demonstrated predictive capabilities for identifying risky behavior. Key indicators include frequent in-session deposits, self-exclusions, rapid balance depletion, and shorter session durations—metrics that could enable real-time intervention through AI-driven safeguards like dynamic bet limits.