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BIG DATA AND TARGETED MARKETING: A DIGITAL REVOLUTION

In the digital world, every online action, such as visiting a
website, watching a video, liking a post or making a
purchase, leaves a digital trace. When billions of these
traces are collected, they form Big data, which refers to
the massive volume of information from online and offline
sources like social media, e-commerce, GPS and
browsing history. Targeted marketing uses these insights
to deliver personalised advertisements and messages to
individuals or specific groups based on their interests,
behaviour and demographics.
Big data and targeted marketing play a central role in digital QR QUEST
citizenship, shaping how people interact, participate online Visit the given link:
and make informed decisions. to learn how Facial
Recognition works:
This relationship creates both challenges and responsibilities https://www.youtube.com/
for digital citizens: watch?v=9H72QbYqxXU&list=PLE_8bc-

Privacy: Big data collection raises concerns about MtSWxEnrVSCtjYOtsoTYHJCOyos
privacy and data security. A good digital citizen is aware Answer the given questions:
of the data they share and actively manages their 1. List the four steps for facial
privacy settings. recognition.
Critical thinking: Targeted marketing can limit exposure 2. List the types of facial
to diverse viewpoints. Digital citizenship requires critical recognition.
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.

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