Public opinion changes like the weather: today there's a storm of indignation, tomorrow a patriotic heatwave, all in the hands of media pressure. Citizens, exposed to constant headlines, go from anger to euphoria without filter. The key is not in the facts, but in the frequency with which certain narratives are repeated.
The algorithm that cooks emotional storms 🌩️
Digital platforms use recommendation systems that prioritize polarizing content to retain attention. These models, based on neural networks, detect patterns of indignation and reinforce confirmation bias. The result is a loop where the user receives more of what angers or excites them. There is no conspiracy, just click optimization. Technology does not create opinion, but it does season it with viral condiments.
From furious hashtag to patriotic meme in three tweets 🚀
Yesterday they burned effigies in the square; today the same people light sparklers with the same flag. The speed of change is such that some politicians already hire meteorologists to predict the social climate. The average citizen goes on emotional shopping without a cart: they buy indignation in the morning and return patriotism in the afternoon. All that's missing is for the algorithm to issue a weather forecast to know whether it's time to protest or have a barbecue.