With the rise of digital platforms, algorithmic curation of news content has become prevalent. While algorithms can help surface a broad array of topics, they can also reinforce biases present in their training data or programming logic. Critical examination and continuous adjustment of these algorithms can contribute to a more balanced representation of tech news, addressing some aspects of unconscious bias in what readers are exposed to.
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