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Digital news apps and websites have become integral to how we consume information, with content increasingly tailored to individual preferences. Personalisation in news delivery relies heavily on data science and big data techniques, such as algorithms and machine learning models that analyse user behavior, engagement patterns, and demographic data. By leveraging these methods, digital news platforms can provide content that resonates with the individual user, enhancing their experience. When observing how a digital news app personalises content, it's evident that several key factors contribute to the personalised experience. First, user interaction with articles—such as clicks, likes, shares, and time spent on specific topics—feeds into the algorithm, allowing it to learn and adjust recommendations. News apps often present headlines and stories that align with the topics a user has ______ ______ _______ ___ ____ __________ _________.
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