Plataformas de streaming: escolhemos o que vemos ou o algoritmo escolhe por nós?

Abstract

In the last decade, streaming platforms have revolutionized entertainment consumption, offering a variety of content accessible at any time, anywhere. The popularity of these platforms, such as Netflix and Disney+, is driven by technological advances and changes in consumer habits. These platforms' recommendation algorithms, based on Deep Learning technology, filter content. While they offer convenience and personalization, there are concerns about a lack of diversity in recommendations and privacy violations. Despite this, algorithms are constantly evolving, incorporating user feedback. It is crucial to strike a balance between personalization and content diversity while ensuring data transparency and privacy. Thus, recommendation algorithms have a significant impact on the way we consume entertainment.