Recommendation systems can create echo chambers and reinforce biases by limiting exposure to diverse content.
Personal strategies to combat data bias include random browsing, turning off personalized recommendations, manual searches, and the concept of random walks.
Technological approaches to tackle data bias include incorporating randomness, diversifying training data, implementing user feedback mechanisms, and adopting ethical AI practices.
Collaborative efforts are needed to combat data bias, with individuals seeking diverse content and technologists developing more balanced algorithms.