Facebook Data and Machine Learning for Election Prediction

Explore a thought-provoking conference talk from Data Science Conference Europe 2023 that delves into how Facebook data and machine learning algorithms can predict political election outcomes. Learn about the analysis of user data including demographics, interests, and social connections to create detailed voter profiles and identify political preferences. Discover how algorithms process sentiment analysis, social network patterns, and user interactions to gauge public opinion and forecast electoral results. Gain insights into how these predictions influence targeted advertising and campaign strategies for voter mobilization. Examine critical ethical considerations surrounding data privacy, algorithmic biases, and the potential manipulation of public opinion in this 22-minute presentation delivered by Alen Kisic in Belgrade.