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    This relationship creates both challenges and responsibilities for digital citizens:
                         Privacy: Big data collection raises concerns about privacy and data security. A good digital
                         citizen is aware of the data they share and actively manages their privacy settings.

                         Critical  thinking: Targeted  marketing  can limit  exposure  to  diverse  viewpoints.  Digital
                         citizenship requires critical thinking to evaluate ads and information.
                         Ethical use: Using big data for marketing or politics requires ethical practices and compliance
                         to  digital  laws. Responsible digital  citizens  support ethical  data  use  and understand  their
                         privacy rights.

                                UNDERSTANDING MACHINE LEARNING ALGORITHMS

                      Machine  learning  algorithms are a core component of the
                      digital  world and their  use  has significant  implications  for
                      digital citizenship. Understanding these algorithms is crucial for

                      navigating online spaces responsibly and ethically.

                      HOW MACHINE LEARNING RELATES TO DIGITAL CITIZENSHIP?

                      Machine learning algorithms are used to analyse vast amounts
                      of data  and make  predictions  or decisions  without  being
                      explicitly  programmed  for every  task.  They  power  many  of
                      the services we use daily, including social media feeds, search
                      engines and targeted advertisements.
                      This is where the connection to digital citizenship becomes clear:

                                                            Content Curation and Filter Bubbles
                                         Algorithms often show more of what you already like, which can limit new
                                                  ideas. Good digital citizens explore different viewpoints.

                                                                  Privacy and Data Usage
                                         Machine learning collects and uses personal data. It is important to know
                                                             what is collected and how it’s used.

                                                                  Discrimination and Bias
                                            If data contains bias, the system’s results can also be biased. Digital
                                                    citizens should demand fairness and transparency.

                                                            Misinformation and Disinformation
                                           Machine learning can spread fake content, such as deepfakes. Always
                                                   check sources before believing or sharing information.

                      132   Computer Science (V5.0)-VIII

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