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Ep. 307: Ultra-Processed Content
Deep Questions with Cal Newport
How Recommendation Algorithms Shape Social Media Content
Recommendation algorithms select content based on user feedback, leading content producers to adapt to algorithmic preferences. This continuous cycle of feedback results in the breakdown and reconstruction of media content into hyper-palatable forms tailored to user habits. This process, akin to food scientists creating ultra-processed food, generates unique and sometimes unusual content on social media platforms. The analogy between processed food and social media content consumption encourages users to be discerning in their content consumption habits. Similar to avoiding ultra-processed food, individuals can selectively engage with digital content without being labeled as anti-technology or resistant to progress. By adopting a more mindful approach to consuming media content, users can cultivate a healthy digital consumption diet.
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