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Topic 2.3Digital Society SL12 flashcards

Identity

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Card 1 of 122.3.1
2.3.1
Question

Define: identity (digital society)

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All Flashcards in Topic 2.3

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2.3.14 cards

Card 1definition
Question

Define: identity (digital society)

Answer

What defines a person, group, social entity or organization and distinguishes it from others.

Card 2concept
Question

The three layers of online identity

Answer

Declared (you wrote it), recorded (observed as you use the service), inferred (estimated from the recorded).

Card 3concept
Question

Which layer matters most?

Answer

The inferred one. It decides what you are shown, offered and charged — and you cannot see or correct it.

Card 4example
Question

Why does verification carry power?

Answer

Whoever verifies identity decides who can act. A failed fingerprint check under Aadhaar can block food someone is entitled to.

2.3.24 cards

Card 5concept
Question

Why is identity not static?

Answer

It changes over time and according to context — a person at 14 and at 24, or at work and among friends.

Card 6definition
Question

Define: context collapse

Answer

Online, every audience receives the same message at once, so one presentation has to serve all of them.

Card 7concept
Question

Why can an old record not be corrected as false?

Answer

It was accurate at the time. The problem is relevance rather than truth — which is the ground the right to be forgotten stands on.

Card 8definition
Question

What does de-listing do?

Answer

Removes a search result under a person's name. The original page stays published.

2.3.34 cards

Card 9definition
Question

Define: intersectional identity

Answer

A person holds several characteristics at once and they overlap — the combination is its own position, not the sum of its parts.

Card 10example
Question

The characteristics the guide names

Answer

Age, nationality, religion, culture, gender, sexuality, race, ethnicity, and social and economic class.

Card 11concept
Question

Why does separate fairness testing fail?

Answer

Each test averages over everyone with that characteristic, so a small group at the intersection disappears into the average.

Card 12concept
Question

Why is a model worst at intersections?

Answer

The fewest training examples exist for those combinations — and that is knowable before training begins.

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