Advertising and Society
Filter bubbles are a phenomenon where algorithms selectively guess what information a user would like to see based on their past behavior, limiting exposure to diverse viewpoints. This personalized content curation often leads to individuals only encountering information that aligns with their pre-existing beliefs, making it difficult for them to engage with contrasting perspectives. As a result, filter bubbles can significantly impact public opinion by reinforcing existing attitudes and biases.
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