Question
Observe how news recommendations appear on a digital platform you use. Analyse how user data, such as clicks, reading history, or time spent, influences content suggestions. Discuss one ethical concern related to algorithm-driven news delivery.
Answer :
Word Count : 504
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Skip in 10
On many digital news platforms, such as news aggregation apps or social media feeds, recommendations are not random but shaped by continuous observation of user behavior. When a user clicks on a particular news article, the platform records this interaction as a signal of interest. Repeated clicks on similar topics, such as politics, sports, or technology, help the system build a user profile. Reading history further refines this profile by identifying preferred themes, sources, and even writing styles. For example, if a user frequently reads long-form analytical pieces rather than short breaking news, the algorithm learns to prioritize in-depth articles. Time spent on each article is also a crucial metric; longer reading duration often indicates higher
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