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Web personalisation conflicts with privacy concerns as it involves collecting and analysing user data to tailor online experiences.
Web personalisation is a strategy used by businesses to provide a unique, individualised experience for each user. This is achieved by collecting and analysing data about the user's behaviour, preferences, and demographics. The data is then used to tailor the content, recommendations, and advertisements that the user sees, making their online experience more relevant and engaging.
However, this practice raises significant privacy concerns. The collection of personal data is often done without the user's explicit consent, or with consent obtained through complex terms and conditions that many users do not fully understand. This can lead to users unknowingly sharing sensitive information, such as their location, browsing history, or even personal identifiers.
Moreover, the data collected is not always securely stored or handled. There have been numerous instances of data breaches where personal information has been accessed by unauthorised parties. This not only violates the user's privacy but also puts them at risk of identity theft and other forms of cybercrime.
Another concern is the lack of transparency in how the collected data is used and who it is shared with. Many companies sell user data to third parties, often without the user's knowledge. This can result in users receiving unsolicited marketing or even having their data used in ways they did not anticipate or agree to.
Furthermore, the use of algorithms in web personalisation can lead to a lack of diversity in the content users are exposed to, a phenomenon known as the 'filter bubble'. This can limit users' access to information and reinforce existing biases, which has broader societal implications.
In conclusion, while web personalisation can enhance the user experience, it also poses significant privacy concerns. These include the non-consensual collection and use of personal data, the risk of data breaches, and the potential for manipulation through the 'filter bubble'. It is therefore crucial for users to be aware of these issues and for businesses to take steps to address them.
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