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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.

RAPID RECALL Tick ( ) if you know this.

1. Facial recognition technology uses cameras and AI to identify people by analysing
their facial features.
2. Using big data for marketing or politics requires ethical practices and compliance
with digital laws.

SPOTTING FAKE NEWS IN THE DIGITAL ERA

It’s a digital world and learning to spot fake news is like
learning to look both ways before crossing the street. It’s
an essential skill for being a good digital citizen. A digital
citizen is someone who uses the Internet in a smart, safe and
positive way.

WHAT IS FAKE NEWS?
Fake news is a catchy term for information that’s false.
There are two main types:

Misinformation: This is when someone shares false information without knowing it’s
wrong. For example, they might see a funny meme and share it, not knowing that the story
behind it was made up.

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